Datasets:

feradauto
/

NLP4SGPapers

Tasks:

Text Classification

Modalities:

Text

Size:

1K - 10K

Libraries:

Datasets

License:

Dataset card Data Studio Files Files and versions

xet

Community

Dataset Viewer

Auto-converted to Parquet Duplicate

Split (3)

train · 2.5k rows

ID stringlengths 11 54	url stringlengths 33 64	title stringlengths 11 184	abstract stringlengths 17 3.87k ⌀	label_nlp4sg bool 2 classes	task sequence	method sequence	goal1 stringclasses 9 values	goal2 stringclasses 9 values	goal3 stringclasses 1 value	acknowledgments stringlengths 28 1.28k ⌀	year stringlengths 4 4	sdg1 bool 1 class	sdg2 bool 1 class	sdg3 bool 2 classes	sdg4 bool 2 classes	sdg5 bool 2 classes	sdg6 bool 1 class	sdg7 bool 1 class	sdg8 bool 2 classes	sdg9 bool 2 classes	sdg10 bool 2 classes	sdg11 bool 2 classes	sdg12 bool 1 class	sdg13 bool 2 classes	sdg14 bool 1 class	sdg15 bool 1 class	sdg16 bool 2 classes	sdg17 bool 2 classes
zhu-etal-2021-neural	https://aclanthology.org/2021.acl-long.339	Neural Stylistic Response Generation with Disentangled Latent Variables	Generating open-domain conversational responses in the desired style usually suffers from the lack of parallel data in the style. Meanwhile, using monolingual stylistic data to increase style intensity often leads to the expense of decreasing content relevance. In this paper, we propose to disentangle the content and s...	false	[]	[]	null	null	null	The authors would like to thank all the anonymous reviewers for their insightful comments. The authors from HIT are supported by the National Natural Science Foundation of China (No. 62076081, No. 61772153, and No. 61936010) and Science and Technology Innovation 2030 Major Project of China (No. 2020AAA0108605). The aut...	2021	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
cybulska-vossen-2013-semantic	https://aclanthology.org/R13-1021	Semantic Relations between Events and their Time, Locations and Participants for Event Coreference Resolution	In this study, we measure the contribution of different event components and particular semantic relations to the task of event coreference resolution. First we calculate what event times, locations and participants add to event coreference resolution. Secondly, we analyze the contribution by hyponymy and granularity w...	false	[]	[]	null	null	null	This study is part of the Semantics of History research project at the VU University Amsterdam and the European FP7 project NewsReader (316404). The authors are grateful to the anonymous reviewers as well as the generous support of the Network Institute of the VU University Amsterdam. All errors are our own.	2013	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
peldszus-2014-towards	https://aclanthology.org/W14-2112	Towards segment-based recognition of argumentation structure in short texts	Despite recent advances in discourse parsing and causality detection, the automatic recognition of argumentation structure of authentic texts is still a very challenging task. To approach this problem, we collected a small corpus of German microtexts in a text generation experiment, resulting in texts that are authenti...	false	[]	[]	null	null	null	Thanks to Manfred Stede and to the anonymous reviewers for their helpful comments. The author was supported by a grant from Cusanuswerk.	2014	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
girju-etal-2007-semeval	https://aclanthology.org/S07-1003	SemEval-2007 Task 04: Classification of Semantic Relations between Nominals	The NLP community has shown a renewed interest in deeper semantic analyses, among them automatic recognition of relations between pairs of words in a text. We present an evaluation task designed to provide a framework for comparing different approaches to classifying semantic relations between nominals in a sentence. T...	false	[]	[]	null	null	null	We thank Eneko Agirre, Lluís Màrquez and Richard Wicentowski, the organizers of SemEval 2007, for their guidance and prompt support in all organizational matters. We thank Marti Hearst for valuable advice throughout the task description and debates on semantic relation definitions. We thank the anonymous reviewers for ...	2007	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
van-der-goot-etal-2021-multilexnorm	https://aclanthology.org/2021.wnut-1.55	MultiLexNorm: A Shared Task on Multilingual Lexical Normalization	Lexical normalization is the task of transforming an utterance into its standardized form. This task is beneficial for downstream analysis, as it provides a way to harmonize (often spontaneous) linguistic variation. Such variation is typical for social media on which information is shared in a multitude of ways, includ...	false	[]	[]	null	null	null	B.M. was funded by the French Research Agency via the ANR ParSiTi project (ANR-16-CE33-0021).	2021	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
einolghozati-etal-2021-el	https://aclanthology.org/2021.eacl-main.87	El Volumen Louder Por Favor: Code-switching in Task-oriented Semantic Parsing	Being able to parse code-switched (CS) utterances, such as Spanish+English or Hindi+English, is essential to democratize task-oriented semantic parsing systems for certain locales. In this work, we focus on Spanglish (Spanish+English) and release a dataset, CSTOP, containing 5800 CS utterances alongside their semantic ...	false	[]	[]	null	null	null	null	2021	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
taji-etal-2017-universal	https://aclanthology.org/W17-1320	Universal Dependencies for Arabic	We describe the process of creating NUDAR, a Universal Dependency treebank for Arabic. We present the conversion from the Penn Arabic Treebank to the Universal Dependency syntactic representation through an intermediate dependency representation. We discuss the challenges faced in the conversion of the trees, the decis...	false	[]	[]	null	null	null	The work done by the third author was supported by the grant 15-10472S of the Czech Science Foundation.	2017	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
habash-2012-mt	https://aclanthology.org/2012.amta-tutorials.3	MT and Arabic Language Issues	The artistic pieces carry the personal characteristics of the artists. • … and they produce a ranked list of translations in the target language • Popular decoders: Moses (Koehn et al., 2007 ), cdec (Dyer et al., 2010 ), Joshua (Li et al., 2009 , Portage (Sadat et al, 2005) and others. • BLEU (Papineni et al, 2001) -Bi...	false	[]	[]	null	null	null	null	2012	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
arthern-1978-machine	https://aclanthology.org/1978.tc-1.5	Machine translation and computerised terminology systems - a translator's viewpoint	Whether these criticisms were valid or not, machine translation development in the States was cut back immediately, translators heaved a sigh of relief, and machine translation researchers went underground. As we have already heard this morning however, they are now coming out into the open again and translators are as...	false	[]	[]	null	null	null	null	1978	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
tiedemann-thottingal-2020-opus	https://aclanthology.org/2020.eamt-1.61	OPUS-MT -- Building open translation services for the World	Equality among people requires, among other things, the ability to access information in the same way as others independent of the linguistic background of the individual user. Achieving this goal becomes an even more important challenge in a globalized world with digital channels and information flows being the most d...	false	[]	[]	null	null	null	null	2020	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
grabski-etal-2012-controle	https://aclanthology.org/F12-1037	Contr\^ole pr\'edictif et codage du but des actions oro-faciales (Predictice control and coding of orofacial actions) [in French]	Predictice control and coding of orofacial actions Predictice control and coding of orofacial actions Predictice control and coding of orofacial actions Predictice control and coding of orofacial actions Recent studies provide evidence for action goal coding of manual actions in premotor and posterior parietal cortices...	false	[]	[]	null	null	null	null	2012	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
ostendorff-etal-2020-aspect	https://aclanthology.org/2020.coling-main.545	Aspect-based Document Similarity for Research Papers	Traditional document similarity measures provide a coarse-grained distinction between similar and dissimilar documents. Typically, they do not consider in what aspects two documents are similar. This limits the granularity of applications like recommender systems that rely on document similarity. In this paper, we exte...	true	[]	[]	Industry, Innovation and Infrastructure	null	null	We would like to thank all reviewers and Christoph Alt for their comments and valuable feedback. The research presented in this article is funded by the German Federal Ministry of Education and Research (BMBF) through the project QURATOR (Unternehmen Region, Wachstumskern, no. 03WKDA1A).	2020	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false
lu-etal-2016-joint	https://aclanthology.org/C16-1308	Joint Inference for Event Coreference Resolution	Event coreference resolution is a challenging problem since it relies on several components of the information extraction pipeline that typically yield noisy outputs. We hypothesize that exploiting the inter-dependencies between these components can significantly improve the performance of an event coreference resolver...	false	[]	[]	null	null	null	We thank the three anonymous reviewers for their detailed comments. This work was supported in part by NSF Grants IIS-1219142 and IIS-1528037, and by the DARPA PPAML Program under AFRL prime contract number FA8750-14-C-0005. Any opinions, findings, conclusions or recommendations expressed in this paper are those of the...	2016	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
zhou-etal-2010-exploiting	https://aclanthology.org/W10-3015	Exploiting Multi-Features to Detect Hedges and their Scope in Biomedical Texts	In this paper, we present a machine learning approach that detects hedge cues and their scope in biomedical texts. Identifying hedged information in texts is a kind of semantic filtering of texts and it is important since it could extract speculative information from factual information. In order to deal with the seman...	true	[]	[]	Good Health and Well-Being	null	null	null	2010	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	false
knauth-alfter-2014-dictionary	https://aclanthology.org/W14-5509	A Dictionary Data Processing Environment and Its Application in Algorithmic Processing of Pali Dictionary Data for Future NLP Tasks	This paper presents a highly flexible infrastructure for processing digitized dictionaries and that can be used to build NLP tools in the future. This infrastructure is especially suitable for low resource languages where some digitized information is available but not (yet) suitable for algorithmic use. It allows rese...	false	[]	[]	null	null	null	null	2014	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
dilsizian-etal-2014-new	http://www.lrec-conf.org/proceedings/lrec2014/pdf/1138_Paper.pdf	A New Framework for Sign Language Recognition based on 3D Handshape Identification and Linguistic Modeling	Current approaches to sign recognition by computer generally have at least some of the following limitations: they rely on laboratory conditions for sign production, are limited to a small vocabulary, rely on 2D modeling (and therefore cannot deal with occlusions and off-plane rotations), and/or achieve limited success...	true	[]	[]	Reduced Inequalities	null	null	null	2014	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false
clark-fijalkow-2021-consistent	https://aclanthology.org/2021.scil-1.60	Consistent unsupervised estimators for anchored PCFGs	Learning probabilistic context-free grammars just from a sample of strings from the grammars is a classic problem going back to Horning (1969) . This abstract, based on the full paper in Clark and Fijalkow (2020) , presents an approach for strongly learning a linguistically interesting subclass of probabilistic context...	false	[]	[]	null	null	null	null	2021	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
tanenhaus-1996-using	https://aclanthology.org/P96-1007	Using Eye Movements to Study Spoken Language Comprehension: Evidence for Incremental Interpretation (Invited Talk)	We present an overview of recent work in which eye movements are monitored as people follow spoken instructions to move objects or pictures in a visual workspace. Subjects naturally make saccadic eye-movements to objects that are closely time-locked to relevant information in the instruction. Thus the eye-movements pro...	false	[]	[]	null	null	null	* This paper summarizes work that the invited talk by the first author (MKT) was based upon. Supported by NIH resource grant 1-P41-RR09283; NIH HD27206 to MKT; NIH F32DC00210 to PDA, NSF Graduate Research Fellowships to MJS-K and JSM and a Canadian Social Science Research Fellowship to JCS.	1996	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
patil-etal-2013-named	https://aclanthology.org/I13-1180	Named Entity Extraction using Information Distance	Named entities (NE) are important information carrying units within documents. Named Entity extraction (NEX) task consists of automatic construction of a list of phrases belonging to each NE of interest. NEX is important for domains which lack a corpus with tagged NEs. We present an enhanced version and improved result...	false	[]	[]	null	null	null	null	2013	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
zhou-2000-local	https://aclanthology.org/C00-2141	Local context templates for Chinese constituent boundary prediction	In this paper, we proposed a shallow syntactic knowledge description: constituent boundary representation and its simple and efficient prediction algorithm, based on different local context templates learned from the annotated corpus. An open test on 2780 Chinese real text sentences showed the satisfying results: 94%(9...	false	[]	[]	null	null	null	The research was supported by National Natural Science Foundation of China (NSFC) (Grant No. 69903007).	2000	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
yirmibesoglu-gungor-2020-ermi	https://aclanthology.org/2020.mwe-1.17	ERMI at PARSEME Shared Task 2020: Embedding-Rich Multiword Expression Identification	This paper describes the ERMI system submitted to the closed track of the PARSEME shared task 2020 on automatic identification of verbal multiword expressions (VMWEs). ERMI is an embedding-rich bidirectional LSTM-CRF model, which takes into account the embeddings of the word, its POS tag, dependency relation, and its h...	false	[]	[]	null	null	null	The numerical calculations reported in this paper were partially performed at TUBITAK ULAKBIM, High Performance and Grid Computing Center (TRUBA resources).	2020	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
nn-1978-finite-string-volume	https://aclanthology.org/J78-2005	The FINITE STRING, Volume 15, Number 2 (continued)	Information Indw t r y ASsociation. Fol lowing Mr, 2urk0wski'~s presentation, Sen. llollings mlicited "help from your organization and others, on t h e convergence of computer and cofnmunications.	false	[]	[]	null	null	null	null	1978	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
christensen-etal-2009-rose	https://aclanthology.org/P09-2049	A Rose is a Roos is a Ruusu: Querying Translations for Web Image Search	We query Web Image search engines with words (e.g., spring) but need images that correspond to particular senses of the word (e.g., flexible coil). Querying with polysemous words often yields unsatisfactory results from engines such as Google Images. We build an image search engine, IDIOM, which improves the quality of...	false	[]	[]	null	null	null	null	2009	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
marinelli-2010-lexical	http://www.lrec-conf.org/proceedings/lrec2010/pdf/830_Paper.pdf	Lexical Resources and Ontological Classifications for the Recognition of Proper Names Sense Extension	Particular uses of PNs with sense extension are focussed on and inspected taking into account the presence of PNs in lexical semantic databases and electronic corpora. Methodology to select ad include PNs in semantic databases is described; the use of PNs in corpora of Italian Language is examined and evaluated, analyz...	false	[]	[]	null	null	null	null	2010	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
polajnar-etal-2015-exploration	https://aclanthology.org/W15-2701	An Exploration of Discourse-Based Sentence Spaces for Compositional Distributional Semantics	This paper investigates whether the wider context in which a sentence is located can contribute to a distributional representation of sentence meaning. We compare a vector space for sentences in which the features are words occurring within the sentence, with two new vector spaces that only make use of surrounding cont...	false	[]	[]	null	null	null	null	2015	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
dehouck-denis-2019-phylogenic	https://aclanthology.org/N19-1017	Phylogenic Multi-Lingual Dependency Parsing	Languages evolve and diverge over time. Their evolutionary history is often depicted in the shape of a phylogenetic tree. Assuming parsing models are representations of their languages grammars, their evolution should follow a structure similar to that of the phylogenetic tree. In this paper, drawing inspiration from m...	false	[]	[]	null	null	null	This work was supported by ANR Grant GRASP No. ANR-16-CE33-0011-01 and Grant from CPER Nord-Pas de Calais/FEDER DATA Advanced data science and technologies 2015-2020. We also thank the reviewers for their valuable feedback.	2019	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
terragni-etal-2021-octis	https://aclanthology.org/2021.eacl-demos.31	OCTIS: Comparing and Optimizing Topic models is Simple!	In this paper, we present OCTIS, a framework for training, analyzing, and comparing Topic Models, whose optimal hyper-parameters are estimated using a Bayesian Optimization approach. The proposed solution integrates several state-of-the-art topic models and evaluation metrics. These metrics can be targeted as objective...	false	[]	[]	null	null	null	null	2021	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
maillard-clark-2015-learning	https://aclanthology.org/K15-1035	Learning Adjective Meanings with a Tensor-Based Skip-Gram Model	We present a compositional distributional semantic model which is an implementation of the tensor-based framework of Coecke et al. (2011). It is an extended skipgram model (Mikolov et al., 2013) which we apply to adjective-noun combinations, learning nouns as vectors and adjectives as matrices. We also propose a novel ...	false	[]	[]	null	null	null	Jean Maillard is supported by an EPSRC Doctoral Training Grant and a St John's Scholarship. Stephen Clark is supported by ERC Starting Grant DisCoTex (306920) and EPSRC grant EP/I037512/1. We would like to thank Tamara Polajnar, Laura Rimell, and Eva Vecchi for useful discussion.	2015	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
bilac-tanaka-2004-hybrid	https://aclanthology.org/C04-1086	A hybrid back-transliteration system for Japanese	null	false	[]	[]	null	null	null	null	2004	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
al-sabbagh-etal-2013-using	https://aclanthology.org/I13-1047	Using the Semantic-Syntactic Interface for Reliable Arabic Modality Annotation	We introduce a novel modality scheme where triggers are words and phrases that convey modality meanings and subcategorize for clauses and verbal phrases. This semanticsyntactic working definition of modality enables us to design practical and replicable annotation guidelines and procedures that alleviate some shortcomi...	false	[]	[]	null	null	null	This work has been partially supported by a grant on social media and mobile computing from the Beckman Institute for Advanced Science and Technology.	2013	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
popovic-ney-2004-towards	http://www.lrec-conf.org/proceedings/lrec2004/pdf/372.pdf	Towards the Use of Word Stems and Suffixes for Statistical Machine Translation	In this paper we present methods for improving the quality of translation from an inflected language into English by making use of part-of-speech tags and word stems and suffixes in the source language. Results for translations from Spanish and Catalan into English are presented on the LC-STAR trilingual corpus which c...	false	[]	[]	null	null	null	This work was partly supported by the LC-STAR project by the European Community (IST project ref. no. 2001-32216).	2004	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
zhang-etal-2021-beyond	https://aclanthology.org/2021.acl-long.200	Beyond Sentence-Level End-to-End Speech Translation: Context Helps	Document-level contextual information has shown benefits to text-based machine translation, but whether and how context helps endto-end (E2E) speech translation (ST) is still under-studied. We fill this gap through extensive experiments using a simple concatenationbased context-aware ST model, paired with adaptive feat...	false	[]	[]	null	null	null	We thank the reviewers for their insightful comments. This project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreements 825460 (ELITR). Rico Sennrich acknowledges support of the Swiss National Science Foundation (MUTAMUR; no. 176727).	2021	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
yuret-2007-ku	https://aclanthology.org/S07-1044	KU: Word Sense Disambiguation by Substitution	Data sparsity is one of the main factors that make word sense disambiguation (WSD) difficult. To overcome this problem we need to find effective ways to use resources other than sense labeled data. In this paper I describe a WSD system that uses a statistical language model based on a large unannotated corpus. The mode...	false	[]	[]	null	null	null	null	2007	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
srinet-etal-2020-craftassist	https://aclanthology.org/2020.acl-main.427	CraftAssist Instruction Parsing: Semantic Parsing for a Voxel-World Assistant	We propose a semantic parsing dataset focused on instruction-driven communication with an agent in the game Minecraft 1. The dataset consists of 7K human utterances and their corresponding parses. Given proper world state, the parses can be interpreted and executed in game. We report the performance of baseline models,...	false	[]	[]	null	null	null	null	2020	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
xu-etal-2016-unimelb	https://aclanthology.org/S16-1027	UNIMELB at SemEval-2016 Tasks 4A and 4B: An Ensemble of Neural Networks and a Word2Vec Based Model for Sentiment Classification	This paper describes our sentiment classification system for microblog-sized documents, and documents where a topic is present. The system consists of a softvoting ensemble of a word2vec language model adapted to classification, a convolutional neural network (CNN), and a longshort term memory network (LSTM). Our main ...	false	[]	[]	null	null	null	null	2016	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
koyama-etal-1998-japanese	https://aclanthology.org/Y98-1029	Japanese Kana-to-Kanji Conversion Using Large Scale Collocation Data	Japanese wad prucessa. cr the cvmputer rated in Japaz employs, input method through keyboard vole canbinxIwith Kay Ohmetic) character b Kaiji (ickogrcphi4 Chime) cirraier aynersiattedsvlogy. .71r key fret►. of Karkto-Kanji co► tersion technology is how to rase the wary cfthe cantersicn hough the hamophae pvcwsirg we ha...	false	[]	[]	null	null	null	null	1998	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
zeyrek-basibuyuk-2019-tcl	https://aclanthology.org/W19-3308	TCL - a Lexicon of Turkish Discourse Connectives	It is known that discourse connectives are the most salient indicators of discourse relations. State-of-the-art parsers being developed to predict explicit discourse connectives exploit annotated discourse corpora but a lexicon of discourse connectives is also needed to enable further research in discourse structure an...	false	[]	[]	null	null	null	null	2019	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
mota-etal-2004-multiword	https://aclanthology.org/W04-2115	Multiword Lexical Acquisition and Dictionary Formalization	In this paper, we present the current state of development of a large-scale lexicon built at LabEL 1 for Portuguese. We will concentrate on multiword expressions (MWE), particularly on multiword nouns, (i) illustrating their most relevant morphological features, and (ii) pointing out the methods and techniques adopted ...	false	[]	[]	null	null	null	null	2004	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
su-etal-2020-towards	https://aclanthology.org/2020.acl-main.63	Towards Unsupervised Language Understanding and Generation by Joint Dual Learning	In modular dialogue systems, natural language understanding (NLU) and natural language generation (NLG) are two critical components, where NLU extracts the semantics from the given texts and NLG is to construct corresponding natural language sentences based on the input semantic representations. However, the dual prope...	false	[]	[]	null	null	null	We thank reviewers for their insightful comments. This work was financially supported from the Young Scholar Fellowship Program by Ministry of Science and Technology (MOST) in Taiwan, under Grant 109-2636-E-002-026.	2020	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
losch-etal-2018-european	https://aclanthology.org/L18-1213	European Language Resource Coordination: Collecting Language Resources for Public Sector Multilingual Information Management	In order to help improve the quality, coverage and performance of automated translation solutions for current and future Connecting Europe Facility (CEF) digital services, the European Language Resource Coordination (ELRC) consortium was set up through a service contract operating under the European Commission's CEF SM...	true	[]	[]	Industry, Innovation and Infrastructure	null	null	null	2018	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false
lurcock-etal-2004-framework	https://aclanthology.org/U04-1014	A framework for utterance disambiguation in dialogue	We discuss the data sources available for utterance disambiguation in a bilingual dialogue system, distinguishing global, contextual, and user-specific domains, and syntactic and semantic levels. We propose a framework for combining the available information, and techniques for increasing a stochastic grammar's sensiti...	false	[]	[]	null	null	null	null	2004	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
gerlach-etal-2013-combining	https://aclanthology.org/2013.mtsummit-wptp.6	Combining pre-editing and post-editing to improve SMT of user-generated content	The poor quality of user-generated content (UGC) found in forums hinders both readability and machine-translatability. To improve these two aspects, we have developed human-and machine-oriented pre-editing rules, which correct or reformulate this content. In this paper we present the results of a study which investigat...	false	[]	[]	null	null	null	The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007 under grant agreement n° 288769.	2013	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
dinu-lapata-2010-measuring	https://aclanthology.org/D10-1113	Measuring Distributional Similarity in Context	The computation of meaning similarity as operationalized by vector-based models has found widespread use in many tasks ranging from the acquisition of synonyms and paraphrases to word sense disambiguation and textual entailment. Vector-based models are typically directed at representing words in isolation and thus best...	false	[]	[]	null	null	null	Acknowledgments The authors acknowledge the support of the DFG (Dinu; International Research Training Group "Language Technology and Cognitive Systems") and EPSRC (Lapata; grant GR/T04540/01).	2010	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
butnaru-2019-bam	https://aclanthology.org/W19-1413	BAM: A combination of deep and shallow models for German Dialect Identification.	In this paper, we present a machine learning approach for the German Dialect Identification (GDI) Closed Shared Task of the DSL 2019 Challenge. The proposed approach combines deep and shallow models, by applying a voting scheme on the outputs resulted from a Character-level Convolutional Neural Networks (Char-CNN), a L...	false	[]	[]	null	null	null	null	2019	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
bunescu-mooney-2005-shortest	https://aclanthology.org/H05-1091	A Shortest Path Dependency Kernel for Relation Extraction	We present a novel approach to relation extraction, based on the observation that the information required to assert a relationship between two named entities in the same sentence is typically captured by the shortest path between the two entities in the dependency graph. Experiments on extracting top-level relations f...	false	[]	[]	null	null	null	This work was supported by grants IIS-0117308 and IIS-0325116 from the NSF.	2005	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
koizumi-etal-2002-annotated	http://www.lrec-conf.org/proceedings/lrec2002/pdf/318.pdf	An Annotated Japanese Sign Language Corpus	Sign language is characterized by its interactivity and multimodality, which cause difficulties in data collection and annotation. To address these difficulties, we have developed a video-based Japanese sign language (JSL) corpus and a corpus tool for annotation and linguistic analysis. As the first step of linguistic ...	true	[]	[]	Reduced Inequalities	null	null	The research reported here was carried out within the Real World Computing Project, supported by Ministry of Economy, Trade and Industry.	2002	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false
couto-vale-etal-2016-automatic	https://aclanthology.org/L16-1574	Automatic Recognition of Linguistic Replacements in Text Series Generated from Keystroke Logs	This paper introduces a toolkit used for the purpose of detecting replacements of different grammatical and semantic structures in ongoing text production logged as a chronological series of computer interaction events (so-called keystroke logs). The specific case we use involves human translations where replacements c...	false	[]	[]	null	null	null	The research reported here was funded by the German Research Council, grant no. NE 1822/2-1.	2016	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
gu-etal-2018-incorporating	https://aclanthology.org/W18-5212	Incorporating Topic Aspects for Online Comment Convincingness Evaluation	In this paper, we propose to incorporate topic aspects information for online comments convincingness evaluation. Our model makes use of graph convolutional network to utilize implicit topic information within a discussion thread to assist the evaluation of convincingness of each single comment. In order to test the ef...	false	[]	[]	null	null	null	The work is partially supported by National Natural Science Foundation of China (Grant No. 61702106), Shanghai Science and Technology Commission (Grant No. 17JC1420200, Grant No. 17YF1427600 and Grant No.16JC1420401).	2018	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
wang-etal-2009-classifying	https://aclanthology.org/D09-1157	Classifying Relations for Biomedical Named Entity Disambiguation	Named entity disambiguation concerns linking a potentially ambiguous mention of named entity in text to an unambiguous identifier in a standard database. One approach to this task is supervised classification. However, the availability of training data is often limited, and the available data sets tend to be imbalanced...	true	[]	[]	Good Health and Well-Being	null	null	The work reported in this paper is funded by Pfizer Ltd.. The UK National Centre for Text Mining is funded by JISC. The ITI-TXM corpus used in the experiments was developed at School of Informatics, University of Edinburgh, in the TXM project, which was funded by ITI Life Sciences, Scotland.	2009	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	false
rosti-etal-2007-combining	https://aclanthology.org/N07-1029	Combining Outputs from Multiple Machine Translation Systems	Currently there are several approaches to machine translation (MT) based on different paradigms; e.g., phrasal, hierarchical and syntax-based. These three approaches yield similar translation accuracy despite using fairly different levels of linguistic knowledge. The availability of such a variety of systems has led to...	false	[]	[]	null	null	null	This work was supported by DARPA/IPTO Contract No. HR0011-06-C-0022 under the GALE program (approved for public release, distribution unlimited). The authors would like to thank ISI and University of Edinburgh for sharing their MT system outputs.	2007	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
luo-etal-2019-improving	https://aclanthology.org/P19-1144	Improving Neural Language Models by Segmenting, Attending, and Predicting the Future	Common language models typically predict the next word given the context. In this work, we propose a method that improves language modeling by learning to align the given context and the following phrase. The model does not require any linguistic annotation of phrase segmentation. Instead, we define syntactic heights a...	false	[]	[]	null	null	null	null	2019	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
opitz-etal-2018-induction	https://aclanthology.org/W18-4518	Induction of a Large-Scale Knowledge Graph from the Regesta Imperii	We induce and visualize a Knowledge Graph over the Regesta Imperii (RI), an important largescale resource for medieval history research. The RI comprise more than 150,000 digitized abstracts of medieval charters issued by the Roman-German kings and popes distributed over many European locations and a time span of more ...	false	[]	[]	null	null	null	null	2018	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
waszczuk-etal-2019-neural	https://aclanthology.org/W19-5113	A Neural Graph-based Approach to Verbal MWE Identification	We propose to tackle the problem of verbal multiword expression (VMWE) identification using a neural graph parsing-based approach. Our solution involves encoding VMWE annotations as labellings of dependency trees and, subsequently, applying a neural network to model the probabilities of different labellings. This strat...	false	[]	[]	null	null	null	We thank the anonymous reviewers for their valuable comments. The work presented in this paper was funded by the German Research Foundation (DFG) within the CRC 991 and the Beyond CFG project, as well as by the Land North Rhine-Westphalia within the NRW-Forschungskolleg Online-Partizipation.	2019	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
li-etal-2019-findings	https://aclanthology.org/W19-5303	Findings of the First Shared Task on Machine Translation Robustness	We share the findings of the first shared task on improving robustness of Machine Translation (MT). The task provides a testbed representing challenges facing MT models deployed in the real world, and facilitates new approaches to improve models' robustness to noisy input and domain mismatch. We focus on two language p...	false	[]	[]	null	null	null	We thank Facebook for funding the human evaluation and blind test set creation.	2019	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
huck-etal-2017-lmu	https://aclanthology.org/W17-4730	LMU Munich's Neural Machine Translation Systems for News Articles and Health Information Texts	This paper describes the LMU Munich English→German machine translation systems. We participated with neural translation engines in the WMT17 shared task on machine translation of news, as well as in the biomedical translation task. LMU Munich's systems deliver competitive machine translation quality on both news articl...	true	[]	[]	Good Health and Well-Being	null	null	This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement № 644402 (HimL). This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement № 640550...	2017	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	false
zou-li-2021-lz1904	https://aclanthology.org/2021.semeval-1.138	LZ1904 at SemEval-2021 Task 5: Bi-LSTM-CRF for Toxic Span Detection using Pretrained Word Embedding	Recurrent Neural Networks (RNN) have been widely used in various Natural Language Processing (NLP) tasks such as text classification, sequence tagging, and machine translation. Long Short Term Memory (LSTM), a special unit of RNN, has the advantage of memorizing past and even future information in a sentence (especiall...	true	[]	[]	Peace, Justice and Strong Institutions	null	null	null	2021	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	true	false
kotani-yoshimi-2015-design	https://aclanthology.org/Y15-1040	Design of a Learner Corpus for Listening and Speaking Performance	A learner corpus is a useful resource for developing automatic assessment techniques for implementation in a computer-assisted language learning system. However, presently, learner corpora are only helpful in terms of evaluating the accuracy of learner output (speaking and writing). Therefore, the present study propose...	true	[]	[]	Quality Education	null	null	This work was supported by JSPS KAKENHI Grant Numbers, 22300299, 15H02940	2015	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false
fraser-etal-2012-modeling	https://aclanthology.org/E12-1068	Modeling Inflection and Word-Formation in SMT	The current state-of-the-art in statistical machine translation (SMT) suffers from issues of sparsity and inadequate modeling power when translating into morphologically rich languages. We model both inflection and word-formation for the task of translating into German. We translate from English words to an underspecif...	false	[]	[]	null	null	null	The authors wish to thank the anonymous reviewers for their comments. Aoife Cahill was partly supported by Deutsche Forschungsgemeinschaft grant SFB 732. Alexander Fraser, Marion Weller and Fabienne Cap were funded by Deutsche Forschungsgemeinschaft grant Models of Morphosyntax for Statistical Machine Translation. The ...	2012	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
lang-etal-2022-visually	https://aclanthology.org/2022.cmcl-1.3	Visually Grounded Interpretation of Noun-Noun Compounds in English	Noun-noun compounds (NNCs) occur frequently in the English language. Accurate NNC interpretation, i.e. determining the implicit relationship between the constituents of a NNC, is crucial for the advancement of many natural language processing tasks. Until now, computational NNC interpretation has been limited to approa...	false	[]	[]	null	null	null	null	2022	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
kozhevnikov-titov-2013-cross	https://aclanthology.org/P13-1117	Cross-lingual Transfer of Semantic Role Labeling Models	Semantic Role Labeling (SRL) has become one of the standard tasks of natural language processing and proven useful as a source of information for a number of other applications. We address the problem of transferring an SRL model from one language to another using a shared feature representation. This approach is then ...	false	[]	[]	null	null	null	The authors would like to thank Alexandre Klementiev and Ryan McDonald for useful suggestions and Täckström et al. (2012) for sharing the cross-lingual word representations. This research is supported by the MMCI Cluster of Excellence.	2013	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
kuhlmann-2013-mildly	https://aclanthology.org/J13-2004	Mildly Non-Projective Dependency Grammar	Syntactic representations based on word-to-word dependencies have a long-standing tradition in descriptive linguistics, and receive considerable interest in many applications. Nevertheless, dependency syntax has remained something of an island from a formal point of view. Moreover, most formalisms available for depende...	false	[]	[]	null	null	null	The author gratefully acknowledges financial support from The German Research Foundation (Sonderforschungsbereich 378, project MI 2) and The Swedish Research Council (diary no. 2008-296).	2013	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
guo-diab-2009-improvements	https://aclanthology.org/W09-2410	Improvements To Monolingual English Word Sense Disambiguation	Word Sense Disambiguation remains one of the most complex problems facing computational linguists to date. In this paper we present modification to the graph based state of the art algorithm In-Degree. Our modifications entail augmenting the basic Lesk similarity measure with more relations based on the structure of Wo...	false	[]	[]	null	null	null	null	2009	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
nuhn-etal-2012-deciphering	https://aclanthology.org/P12-1017	Deciphering Foreign Language by Combining Language Models and Context Vectors	In this paper we show how to train statistical machine translation systems on reallife tasks using only non-parallel monolingual data from two languages. We present a modification of the method shown in (Ravi and Knight, 2011) that is scalable to vocabulary sizes of several thousand words. On the task shown in (Ravi an...	false	[]	[]	null	null	null	This work was realized as part of the Quaero Programme, funded by OSEO, French State agency for innovation. The authors would like to thank Sujith Ravi and Kevin Knight for providing us with the OPUS subtitle corpus and David Rybach for kindly sharing his knowledge about the OpenFST library.	2012	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
xu-etal-2014-joint	https://aclanthology.org/C14-1064	Joint Opinion Relation Detection Using One-Class Deep Neural Network	Detecting opinion relation is a crucial step for fine-gained opinion summarization. A valid opinion relation has three requirements: a correct opinion word, a correct opinion target and the linking relation between them. Previous works prone to only verifying two of these requirements for opinion extraction, while leav...	false	[]	[]	null	null	null	This work was sponsored by the National Natural Science Foundation of China (No. 61202329 and No. 61333018) and CCF-Tencent Open Research Fund.	2014	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
muraki-etal-1985-augmented	https://aclanthology.org/E85-1029	Augmented Dependency Grammar: A Simple Interface between the Grammar Rule and the Knowledge	The VENUS analysis model consists of two components, Legato and Crescendo, as shown in Fig. I . Legato based on the ADG framework, constructs semantic dependency structure of Japanese input sentences by feature-oriented dependency grammar rules as main control information for syntactic analysis, and by semantic inferen...	false	[]	[]	null	null	null	null	1985	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
choi-etal-1998-hybrid-approaches	https://aclanthology.org/P98-1039	Hybrid Approaches to Improvement of Translation Quality in Web-based English-Korean Machine Translation	The previous English-Korean MT system that was the transfer-based MT system and applied to only written text enumerated a following brief list of the problems that had not seemed to be easy to solve in the near future : 1) processing of non-continuous idiomatic expressions 2) reduction of too many ambiguities in Englis...	false	[]	[]	null	null	null	null	1998	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
hoffman-1992-ccg	https://aclanthology.org/P92-1044	A CCG Approach to Free Word Order Languages	In this paper, I present work in progress on an extension of Combinatory Categorial Grammars, CCGs, (Steedman 1985) to handle languages with freer word order than English, specifically Turkish. The approach I develop takes advantage of CCGs' ability to combine the syntactic as well as the semantic representations of ad...	false	[]	[]	null	null	null	null	1992	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
li-etal-2008-optimal	https://aclanthology.org/W08-0118	Optimal Dialog in Consumer-Rating Systems using POMDP Framework	Voice-Rate is an experimental dialog system through which a user can call to get product information. In this paper, we describe an optimal dialog management algorithm for Voice-Rate. Our algorithm uses a POMDP framework, which is probabilistic and captures uncertainty in speech recognition and user knowledge. We propo...	false	[]	[]	null	null	null	This work was conducted during the first author's internship at Microsoft Research; thanks to Dan Bohus, Ghinwa Choueiter, Yun-Cheng Ju, Xiao Li, Milind Mahajan, Tim Paek, Yeyi Wang, and Dong Yu for helpful discussions.	2008	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
riloff-etal-2002-inducing	https://aclanthology.org/C02-1070	Inducing Information Extraction Systems for New Languages via Cross-language Projection	Information extraction (IE) systems are costly to build because they require development texts, parsing tools, and specialized dictionaries for each application domain and each natural language that needs to be processed. We present a novel method for rapidly creating IE systems for new languages by exploiting existing...	false	[]	[]	null	null	null	null	2002	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
bakhshandeh-etal-2016-learning	https://aclanthology.org/K16-1007	Learning to Jointly Predict Ellipsis and Comparison Structures	Domain-independent meaning representation of text has received a renewed interest in the NLP community. Comparison plays a crucial role in shaping objective and subjective opinion and measurement in natural language, and is often expressed in complex constructions including ellipsis. In this paper, we introduce a novel...	false	[]	[]	null	null	null	We thank the anonymous reviewers for their invaluable comments and Brian Rinehart and other annotators for their great work on the annotations. This work was supported in part by Grant W911NF-15-1-0542 with the US Defense Advanced Research Projects Agency (DARPA) and the Army Research Office (ARO).	2016	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
sanchan-etal-2017-automatic	https://doi.org/10.26615/978-954-452-038-0_003	Automatic Summarization of Online Debates	null	false	[]	[]	null	null	null	null	2017	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
naskar-bandyopadhyay-2005-phrasal	https://aclanthology.org/2005.mtsummit-posters.8	A Phrasal EBMT System for Translating English to Bengali	The present work describes a Phrasal Example Based Machine Translation system from English to Bengali that identifies the phrases in the input through a shallow analysis, retrieves the target phrases using a Phrasal Example base and finally combines the target language phrases employing some heuristics based on the phr...	false	[]	[]	null	null	null	null	2005	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
wojatzki-etal-2018-quantifying	https://aclanthology.org/L18-1224	Quantifying Qualitative Data for Understanding Controversial Issues	Understanding public opinion on complex controversial issues such as 'Legalization of Marijuana' and 'Gun Rights' is of considerable importance for a number of objectives such as identifying the most divisive facets of the issue, developing a consensus, and making informed policy decisions. However, an individual's pos...	true	[]	[]	Peace, Justice and Strong Institutions	null	null	null	2018	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	true	false
jang-etal-1999-using	https://aclanthology.org/P99-1029	Using Mutual Information to Resolve Query Translation Ambiguities and Query Term Weighting	An easy way of translating queries in one language to the other for cross-language information retrieval (IR) is to use a simple bilingual dictionary. Because of the generalpurpose nature of such dictionaries, however, this simple method yields a severe translation ambiguity problem. This paper describes the degree to ...	false	[]	[]	null	null	null	null	1999	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
yamamoto-etal-2021-dependency	https://aclanthology.org/2021.starsem-1.20	Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing	Meaning Representation (AMR) is a sentence-level meaning representation based on predicate argument structure. One of the challenges we find in AMR parsing is to capture the structure of complex sentences which expresses the relation between predicates. Knowing the core part of the sentence structure in advance may be ...	false	[]	[]	null	null	null	null	2021	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
finch-etal-2011-nict	https://aclanthology.org/2011.iwslt-evaluation.5	The NICT translation system for IWSLT 2011	This paper describes NICT's participation in the IWSLT 2011 evaluation campaign for the TED speech translation Chinese-English shared-task. Our approach was based on a phrasebased statistical machine translation system that was augmented in two ways. Firstly we introduced rule-based reordering constraints on the decodi...	false	[]	[]	null	null	null	This work was performed while the first was supported by the JSPS Research Fellowsh Young Scientists.	2011	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
banik-etal-2016-smt	https://aclanthology.org/W16-6303	Can SMT and RBMT Improve each other's Performance?- An Experiment with English-Hindi Translation	Rule-based machine translation (RBMT) and Statistical machine translation (SMT) are two well-known approaches for translation which have their own benefits. System architecture of SMT often complements RBMT, and the vice-versa. In this paper, we propose an effective method of serial coupling where we attempt to build a...	false	[]	[]	null	null	null	null	2016	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
dhuliawala-etal-2015-judge	https://aclanthology.org/W15-5925	Judge a Book by its Cover: Conservative Focused Crawling under Resource Constraints	In this paper, we propose a domain specific crawler that decides the domain relevance of a URL without downloading the page. In contrast, a focused crawler relies on the content of the page to make the same decision. To achieve this, we use a classifier model which harnesses features such as the page's URL and its pare...	false	[]	[]	null	null	null	null	2015	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
lakew-etal-2017-fbks	https://aclanthology.org/2017.iwslt-1.5	FBK's Multilingual Neural Machine Translation System for IWSLT 2017	Neural Machine Translation has been shown to enable inference and cross-lingual knowledge transfer across multiple language directions using a single multilingual model. Focusing on this multilingual translation scenario, this work summarizes FBK's participation in the IWSLT 2017 shared task. Our submissions rely on tw...	false	[]	[]	null	null	null	This work has been partially supported by the EC-funded projects ModernMT (H2020 grant agreement no. 645487) and QT21 (H2020 grant agreement no. 645452). The Titan Xp used for this research was donated by the NVIDIA Corporation. This work was also supported by The Alan Turing Institute under the EPSRC grant EP/N510129/...	2017	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
hasan-ng-2014-taking	https://aclanthology.org/D14-1083	Why are You Taking this Stance? Identifying and Classifying Reasons in Ideological Debates	Recent years have seen a surge of interest in stance classification in online debates. Oftentimes, however, it is important to determine not only the stance expressed by an author in her debate posts, but also the reasons behind her supporting or opposing the issue under debate. We therefore examine the new task of rea...	true	[]	[]	Peace, Justice and Strong Institutions	null	null	We thank the three anonymous reviewers for their detailed and insightful comments on an earlier draft of this paper. This work was supported in part by NSF Grants IIS-1147644 and IIS-1219142. Any opinions, findings, conclusions or recommendations expressed in this paper are those of the authors and do not necessarily r...	2014	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	true	false
glavas-etal-2012-experiments	https://aclanthology.org/W12-0501	Experiments on Hybrid Corpus-Based Sentiment Lexicon Acquisition	Numerous sentiment analysis applications make usage of a sentiment lexicon. In this paper we present experiments on hybrid sentiment lexicon acquisition. The approach is corpus-based and thus suitable for languages lacking general dictionarybased resources. The approach is a hybrid two-step process that combines semisu...	false	[]	[]	null	null	null	We thank the anonymous reviewers for their useful comments. This work has been supported by the Ministry of Science, Education and Sports, Republic of Croatia under the Grant 036-1300646-1986.	2012	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
trieu-etal-2016-dealing	https://aclanthology.org/Y16-2024	Dealing with Out-Of-Vocabulary Problem in Sentence Alignment Using Word Similarity	Sentence alignment plays an essential role in building bilingual corpora which are valuable resources for many applications like statistical machine translation. In various approaches of sentence alignment, length-and-word-based methods which are based on sentence length and word correspondences have been shown to be t...	false	[]	[]	null	null	null	null	2016	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
ernestus-etal-2014-nijmegen	http://www.lrec-conf.org/proceedings/lrec2014/pdf/134_Paper.pdf	The Nijmegen Corpus of Casual Czech	This article introduces a new speech corpus, the Nijmegen Corpus of Casual Czech (NCCCz), which contains more than 30 hours of high-quality recordings of casual conversations in Common Czech, among ten groups of three male and ten groups of three female friends. All speakers were native speakers of Czech, raised in Pra...	false	[]	[]	null	null	null	Our thanks to the staff at the Phonetic Institute at Charles University in Prague for their help during the recordings of the corpus in Prague. Our special thanks to Lou Boves for valuable discussions. This work was funded by a European Young Investigator Award given to the first author. In addition, it was supported b...	2014	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
nakano-etal-2022-pseudo	https://aclanthology.org/2022.dialdoc-1.4	Pseudo Ambiguous and Clarifying Questions Based on Sentence Structures Toward Clarifying Question Answering System	Question answering (QA) with disambiguation questions is essential for practical QA systems because user questions often do not contain information enough to find their answers. We call this task clarifying question answering, a task to find answers to ambiguous user questions by disambiguating their intents through in...	false	[]	[]	null	null	null	null	2022	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
balusu-2012-complex	https://aclanthology.org/C12-3001	Complex Predicates in Telugu: A Computational Perspective	Complex predicates raise the question of how to encode them in computational lexicons. Their computational implementation in South Asian languages is in its infancy. This paper examines in detail the variety of complex predicates in Telugu revealing the syntactic process of their composition and the constraints on thei...	false	[]	[]	null	null	null	null	2012	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
laban-etal-2020-summary	https://aclanthology.org/2020.acl-main.460	The Summary Loop: Learning to Write Abstractive Summaries Without Examples	This work presents a new approach to unsupervised abstractive summarization based on maximizing a combination of coverage and fluency for a given length constraint. It introduces a novel method that encourages the inclusion of key terms from the original document into the summary: key terms are masked out of the origin...	false	[]	[]	null	null	null	We would like to thank Forrest Huang, David Chan, Roshan Rao, Katie Stasaski and the ACL reviewers for their helpful comments. This work was supported by the first author's internship at Bloomberg, and a Bloomberg Data Science grant. We also gratefully acknowledge support received from an Amazon Web Services Machine Le...	2020	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
arnold-etal-1985-mul	https://aclanthology.org/1985.tmi-1.1	A MUl View of the \textlessC,A\textgreater, T Framework in EUROTRA	null	false	[]	[]	null	null	null	null	1985	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
feng-etal-2012-hierarchical	https://aclanthology.org/P12-1100	Hierarchical Chunk-to-String Translation	We present a hierarchical chunk-to-string translation model, which can be seen as a compromise between the hierarchical phrasebased model and the tree-to-string model, to combine the merits of the two models. With the help of shallow parsing, our model learns rules consisting of words and chunks and meanwhile introduce...	false	[]	[]	null	null	null	We would like to thank Trevor Cohn, Shujie Liu, Nan Duan, Lei Cui and Mo Yu for their help, and anonymous reviewers for their valuable comments and suggestions. This work was supported in part by EPSRC grant EP/I034750/1 and in part by High Technology R&D Program Project No. 2011AA01A207.	2012	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
lindsey-etal-2012-phrase	https://aclanthology.org/D12-1020	A Phrase-Discovering Topic Model Using Hierarchical Pitman-Yor Processes	Topic models traditionally rely on the bagof-words assumption. In data mining applications, this often results in end-users being presented with inscrutable lists of topical unigrams, single words inferred as representative of their topics. In this article, we present a hierarchical generative probabilistic model of to...	false	[]	[]	null	null	null	The first author is supported by an NSF Graduate Research Fellowship. The first and second authors began this project while working at J.D. Power & Associates. We are indebted to Michael Mozer, Matt Wilder, and Nicolas Nicolov for their advice.	2012	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
li-etal-2012-simple	https://aclanthology.org/W12-4508	Simple Maximum Entropy Models for Multilingual Coreference Resolution	This paper describes our system participating in the CoNLL-2012 shared task: Modeling Multilingual Unrestricted Coreference in Ontonotes. Maximum entropy models are used for our system as classifiers to determine the coreference relationship between every two mentions (usually noun phrases and pronouns) in each documen...	false	[]	[]	null	null	null	null	2012	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
ben-ari-etal-1988-translational	https://aclanthology.org/1988.tmi-1.15	Translational ambiguity rephrased	Presented are the special aspects of translation-oriented disambiguation, which differentiate it from conventional text-understanding-oriented disambiguation. Also presented are the necessity of interaction to cover the failure of automatic disambiguation, and the idea of disambiguation by rephrasing. The types of ambi...	false	[]	[]	null	null	null	null	1988	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
gladkova-drozd-2016-intrinsic	https://aclanthology.org/W16-2507	Intrinsic Evaluations of Word Embeddings: What Can We Do Better?	This paper presents an analysis of existing methods for the intrinsic evaluation of word embeddings. We show that the main methodological premise of such evaluations is "interpretability" of word embeddings: a "good" embedding produces results that make sense in terms of traditional linguistic categories. This approach...	false	[]	[]	null	null	null	null	2016	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
elita-birladeanu-2005-first	https://aclanthology.org/2005.mtsummit-swtmt.5	A First Step in Integrating an EBMT into the Semantic Web	In this paper we present the actions we made to prepare an EBMT system to be integrated into the Semantic Web. We also described briefly the developed EBMT tool for translators.	false	[]	[]	null	null	null	null	2005	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
krishnakumaran-zhu-2007-hunting	https://aclanthology.org/W07-0103	Hunting Elusive Metaphors Using Lexical Resources.	In this paper we propose algorithms to automatically classify sentences into metaphoric or normal usages. Our algorithms only need the WordNet and bigram counts, and does not require training. We present empirical results on a test set derived from the Master Metaphor List. We also discuss issues that make classificati...	false	[]	[]	null	null	null	null	2007	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
cho-2017-wh	https://aclanthology.org/Y17-1044	Wh-island Effects in Korean Scrambling Constructions	This study examines the wh-island effects in Korean. Since wh-in-situ languages like Korean allow wh-scrambling, the absence of wh-island constraints is accepted. However, it is controversial whether whclauses can take a matrix scope or not. In order to clarify the issue of wh-islands in Korean, the current paper desig...	false	[]	[]	null	null	null	null	2017	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
kawamori-etal-1996-phonological	https://aclanthology.org/Y96-1031	A Phonological Study on Japanese Discourse Markers	A spontaneously spoken, natural Japanese discourse contains many instances of the so-called redundant interjections and of backchannel utterances. These expressions have not hitherto received much attention and few systematic analyses have been made. We show that these utterances are characterizable as discourse marker...	false	[]	[]	null	null	null	null	1996	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
pyysalo-etal-2009-static	https://aclanthology.org/W09-1301	Static Relations: a Piece in the Biomedical Information Extraction Puzzle	We propose a static relation extraction task to complement biomedical information extraction approaches. We argue that static relations such as part-whole are implicitly involved in many common extraction settings, define a task setting making them explicit, and discuss their integration into previously proposed tasks ...	true	[]	[]	Good Health and Well-Being	null	null	Discussions with members of the BioInfer group were central for developing many of the ideas presented here. We are grateful for the efforts of Maki Niihori in producing supporting annotation applied in this work. This work was partially supported by Grant-in-Aid for Specially Promoted Research (Ministry of Education, ...	2009	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	false
popovic-etal-2020-neural	https://aclanthology.org/2020.vardial-1.10	Neural Machine Translation for translating into Croatian and Serbian	In this work, we systematically investigate different setups for training of neural machine translation (NMT) systems for translation into Croatian and Serbian, two closely related South Slavic languages. We explore English and German as source languages, different sizes and types of training corpora, as well as biling...	false	[]	[]	null	null	null	The ADAPT SFI Centre for Digital Media Technology is funded by Science Foundation Ireland through the SFI Research Centres Programme and is co-funded under the European Regional Development Fund (ERDF) through Grant 13/RC/2106. This research was partly funded by financial support of the European Association for Machine...	2020	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
kate-mooney-2007-semi	https://aclanthology.org/N07-2021	Semi-Supervised Learning for Semantic Parsing using Support Vector Machines	We present a method for utilizing unannotated sentences to improve a semantic parser which maps natural language (NL) sentences into their formal meaning representations (MRs). Given NL sentences annotated with their MRs, the initial supervised semantic parser learns the mapping by training Support Vector Machine (SVM)...	false	[]	[]	null	null	null	This research was supported by a Google research grant. The experiments were run on the Mastodon cluster provided by NSF grant EIA-0303609.	2007	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false
mitchell-etal-2013-community	https://aclanthology.org/2013.mtsummit-wptp.5	Community-based post-editing of machine-translated content: monolingual vs. bilingual	We carried out a machine-translation postediting pilot study with users of an IT support forum community. For both language pairs (English to German, English to French), 4 native speakers for each language were recruited. They performed monolingual and bilingual postediting tasks on machine-translated forum content. Th...	false	[]	[]	null	null	null	This work is supported by the European Commission's Seventh Framework Programme (Grant 288769). The authors would like to thank Dr. Pratyush Banerjee for contributing the building of the clusters to group similar posts together for this post-editing study.	2013	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false

End of preview. Expand in Data Studio

Dataset Card for NLP4SGPapers

Dataset Summary

Scientific dataset with three associated tasks that can help identify NLP4SG papers.

Languages

The language in the dataset is English.

Dataset Structure

Data Instances

Each instance is an annotated paper with title, abstract, year.

Data Fields

ID: Paper ID in ACL Anthology
url: URL where the paper is available
title: Title of the paper
abstract: Abstract
label_nlp4sg: Whether is an NLP4SG paper or not. For more info on the criteria check our paper
task: List of tasks (Only available for the test set and for SG papers)
method: List of methods (Only available for the test set and for SG papers)
goal1: goal in string format
goal2: goal in string format
goal3: goal in string format
acknowledgments: acknowledgments
year: Year of publication
sdg1 to sdg17: Boolean value that indicates if the paper addresses the United Nations Social Development Goal.