Subset (3)

corpus_clean · 64.2k rows

Split (1)

full · 64.2k rows

Subsets and Splits

Query Documents Matching Titles

Creates a table with a limited set of queries and their corresponding document details, useful for exploring the relationship between queries and document content.

Join Queries with Corpus Data

Combines queries with their corresponding documents to show the titles and abstracts of papers related to each query, which helps in understanding the relevance and context of the queries.

corpusid int64 110 268M	title stringlengths 0 8.56k	abstract stringlengths 0 18.4k	citations listlengths 0 142	full_paper stringlengths 0 635k
44,077,235	NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji Pre-trained CNN for Irony Detection in Tweets	This paper describes our participation in Se-mEval 2018 Task 3 on Irony Detection in Tweets. We combine linguistic features with pre-trained activations of a neural network. The CNN is trained on the emoji prediction task. We combine the two feature sets and feed them into an XGBoost Classifier for classification. Subt...	[ 44145664, 1957433, 15646625, 14728943 ]	NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji Pre-trained CNN for Irony Detection in Tweets June 5-6. 2018 Harsh Rangwani harsh.rangwani.cse15@iitbhu.ac.in Indian Institute of Technology (Banaras Hindu University VaranasiIndia Devang Kulshreshtha devang.kulshreshtha.cse14@iitbhu.ac.in ...
218,973,873			[]	The Effect of Linguistic Parameters in Cross-Language Information Retrieval Performance Evidence from IARPA's MATERIAL Program May 2020 Carl Rubino Intelligence Advanced Research Projects Activity (IARPA) Washington 20511DCUSA Carl Rubino@iarpa Intelligence Advanced Research Projects Activity (IARPA) Washington 205...
1,152,575	Bilingual Collocation Extraction Based on Syntactic and Statistical Analyses	In this paper, we describe an algorithm that employs syntactic and statistical analysis to extract bilingual collocations from a parallel corpus. Collocations are pervasive in all types of writing and can be found in phrases, chunks, proper names, idioms, and terminology. Therefore, automatic extraction of monolingual ...	[ 52800448, 17454561, 2132578, 3031527, 6465096, 9558665, 6763915 ]	Bilingual Collocation Extraction Based on Syntactic and Statistical Analyses February 2004 Chien-Cheng Wu Department of Computer Science National Tsing Hua University Address: 101, Kuangfu RoadHsinchuTaiwan Jason S Chang jschang@cs.nthu.edu.tw Department of Computer Science National Tsing Hua University Address: 10...
1,515,014	Contextual Phrase-Level Polarity Analysis using Lexical Affect Scoring and Syntactic N-grams	We present a classifier to predict contextual polarity of subjective phrases in a sentence. Our approach features lexical scoring derived from the Dictionary of Affect in Language (DAL) and extended through WordNet, allowing us to automatically score the vast majority of words in our input avoiding the need for manual ...	[ 10807721, 976653, 8162001, 6627923, 6541910 ]	Contextual Phrase-Level Polarity Analysis using Lexical Affect Scoring and Syntactic N-grams Apoorv Agarwal Department of Computer Science Department of Computer Science Columbia University New York USA Fadi Biadsy Department of Computer Science Columbia University New York USA Kathleen R Mckeown Columbia Univer...
52,010,259	Dynamic Feature Selection with Attention in Incremental Parsing	One main challenge for incremental transition-based parsers, when future inputs are invisible, is to extract good features from a limited local context. In this work, we present a simple technique to maximally utilize the local features with an attention mechanism, which works as contextdependent dynamic feature select...	[ 7356547, 33542057, 2948298, 246647, 1998416, 6205777, 1689426, 11616343, 9278872, 10901371, 1918428, 269533, 6278207 ]	Dynamic Feature Selection with Attention in Incremental Parsing August 20-26. 2018 Ryosuke Kohita ryosuke.kohita1@ibm.com †IBM Research §Artificial Intelligence Research Center School of Information Science National Institute of Advanced Industrial Science and Technology (AIST) Nara Institute of Science and Technolog...
236,486,279	Agenda Pushing in Email to Thwart Phishing	In this work, we draw parallels in automatically responding to emails for combating social-engineering attacks and documentgrounded response generation. We lay out the blueprint of our approach and illustrate our reasoning. E-mails are longer than dialogue utterances and often contain multiple intents. To respond to ph...	[ 216036372, 52967399 ]	Agenda Pushing in Email to Thwart Phishing August 5-6, 2021 Hyundong Cho jcho@isi.edu Information Sciences Institute University of Southern California Genevieve Bartlett bartlett@isi.edu Information Sciences Institute University of Southern California Marjorie Freedman Information Sciences Institute University ...
7,396,295	ICT: A Translation based Method for Cross-lingual Textual Entailment	In this paper, we present our system description in task of Cross-lingual Textual Entailment. The goal of this task is to detect entailment relations between two sentences written in different languages. To accomplish this goal, we first translate sentences written in foreign languages into English. Then, we use EDITS ...	[ 384994, 7747235, 10202504, 8884845, 7080762, 5375922, 1747290, 10668091, 5030780, 12919101 ]	ICT: A Translation based Method for Cross-lingual Textual Entailment June 7-8, 2012 Fandong Meng mengfandong@ict.ac.cn Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704100190BeijingChina Hao Xiong xionghao@ict.ac.cn Key Lab. of Intelligent Inf...
624,738	A Formal Model for Information Selection in Multi-Sentence Text Extraction	Selecting important information while accounting for repetitions is a hard task for both summarization and question answering. We propose a formal model that represents a collection of documents in a two-dimensional space of textual and conceptual units with an associated mapping between these two dimensions. This repr...	[ 11419428, 6627923, 11680756, 11846745, 10827006 ]	A Formal Model for Information Selection in Multi-Sentence Text Extraction Elena Filatova filatova@cs.columbia.edu Department of Computer Science Center for Computational Learning Systems Columbia University New York 10027NYUSA Vasileios Hatzivassiloglou Columbia University 10027New YorkNYUSA A Formal Model for I...
15,646,153	Finding Medical Term Variations using Parallel Corpora and Distributional Similarity	We describe a method for the identification of medical term variations using parallel corpora and measures of distributional similarity. Our approach is based on automatic word alignment and standard phrase extraction techniques commonly used in statistical machine translation. Combined with pattern-based filters we ob...	[ 9446241, 2281602, 7289480, 12776014, 38407095, 13183512, 2755801, 15698938 ]	Finding Medical Term Variations using Parallel Corpora and Distributional Similarity Ontolex 2010. August 2010 Lonneke Van Der Plas lonneke.vanderplas@unige.ch Department of Linguistics Department of Linguistics and Philology University of Geneva Uppsala University Jörg Tiedemann jorg.tiedemann@lingfil.uu.se Depar...
11,970,767	Parsing Without (Much) Phrase Structure	Approaches to NL syntax conform in varying degrees to the older relational/dependency model, (essentially that assumed in traditional grammar), which treats a sentence as a group of words united by various relations, and the newer constituent model. Some modern approaches have nonetheless involved shifts away from esse...	[]	Parsing Without (Much) Phrase Structure Michael B Kac Department of Linguistics Program in Linguistics University of Minnesota Minneapolis 55455MNUSA Alexis Manaster-Ramer University of Michigan M148109Ann ArborUSA Parsing Without (Much) Phrase Structure The following sentences are offered by way of illustration:...
8,400,322	Grammar Factorization by Tree Decomposition	We describe the application of the graph-theoretic property known as treewidth to the problem of finding efficient parsing algorithms. This method, similar to the junction tree algorithm used in graphical models for machine learning, allows automatic discovery of efficient algorithms such as the O(n 4 ) algorithm for b...	[ 15128029, 333410, 9004962, 6166308, 478500, 989542, 912349, 1878772, 5421301, 12273076, 538616, 7859387, 471453, 17143000 ]	Grammar Factorization by Tree Decomposition Daniel Gildea University of Rochester Grammar Factorization by Tree Decomposition We describe the application of the graph-theoretic property known as treewidth to the problem of finding efficient parsing algorithms. This method, similar to the junction tree algorithm u...
14,035,462	PANGLYZER: SPANISH LANGUAGE ANALYSIS SYSTEM	The purpose of this paper is to describe the functions and procedures of the eight components of the Panglyzer Spanish analyzer of the knowledge-based engine of the Pangloss machine translation system. The Panglyzer follows a multi-pass approach consisting of preprocessing, part-of-speech tagging, phrase recognition, p...	[]	PANGLYZER: SPANISH LANGUAGE ANALYSIS SYSTEM David Farwell Computing Research Laboratory New Mexico State University Steve Helmreich Computing Research Laboratory New Mexico State University Wanying Jin Computing Research Laboratory New Mexico State University Mark Casper Computing Research Laboratory New Me...
184,482,937	ProblemSolver at SemEval-2019 Task 10: Sequence-to-Sequence Learning and Expression Trees	This paper describes our participation in SemEval-2019 shared task "Math Question Answering", where the aim is to create a program that could solve the Math SAT questions automatically as accurately as possible. We went with a dual-pronged approach, building a Sequence-to-Sequence Neural Network pre-trained with augmen...	[ 6205777, 184482945, 560565 ]	ProblemSolver at SemEval-2019 Task 10: Sequence-to-Sequence Learning and Expression Trees June 6-7, 2019 Xuefeng Luo Linguistics Department University of Tuebingen Germany Alina Baranova Linguistics Department University of Tuebingen Germany Jonas Biegert Linguistics Department University of Tuebingen Germany Pr...
52,128,323	Verbal Multiword Expressions in Basque Corpora	This paper presents a Basque corpus where Verbal Multiword Expressions (VMWEs) were annotated following universal guidelines. Information on the annotation is given, and some ideas for discussion upon the guidelines are also proposed. The corpus is useful not only for NLPrelated research, but also to draw conclusions o...	[ 23006146, 1487867, 216923442, 9966389 ]	Verbal Multiword Expressions in Basque Corpora August 25-26. 2018 Uxoa Iñurrieta usoa.inurrieta@ehu.eus Itziar Aduriz itziar.aduriz@ub.edu Ainara Estarrona ainara.estarrona@ehu.eus Itziar Gonzalez-Dios itziar.gonzalezd@ehu.eus Antton Gurrutxaga a.gurrutxaga@elhuyar.eus Elhuyar Foundation IXA NLP group University ...
243,864,612	SemLink 2: Chasing Lexical Resources	The SemLink resource provides mappings between a variety of lexical semantic ontologies, each with their strengths and weaknesses. To take advantage of these differences, the ability to move between resources is essential. This work describes advances made to improve the usability of the SemLink resource: the automatic...	[ 8716224, 3626819, 53048550, 201681771, 1957433, 21699285, 11616343, 53101497, 5959482, 216867421 ]	SemLink 2: Chasing Lexical Resources June 17-18, 2021 Kevin Stowe Department of Computer Science Ubiquitous Knowledge Processing Lab (UKP Lab) Technical University of Darmstadt Jenette Preciado SoundHound BoulderColorado Kathryn Conger University of Colorado Boulder Susan Brown University of Colorado Boulder ...
1,421,908	Recognizing Implicit Discourse Relations in the Penn Discourse Treebank	We present an implicit discourse relation classifier in the Penn Discourse Treebank (PDTB). Our classifier considers the context of the two arguments, word pair information, as well as the arguments' internal constituent and dependency parses. Our results on the PDTB yields a significant 14.1% improvement over the base...	[ 7859072, 1157793, 12636832, 13374927, 3102322, 15893207, 210363 ]	Recognizing Implicit Discourse Relations in the Penn Discourse Treebank August 2009. 2009 Ziheng Lin linzihen@comp.nus.edu.sg Department of Computer Science National University of Singapore 13 Computing Drive117417Singapore Min-Yen Kan Department of Computer Science National University of Singapore 13 Computing Dri...
44,127,792	Linguistic Cues to Deception and Perceived Deception in Interview Dialogues	We explore deception detection in interview dialogues. We analyze a set of linguistic features in both truthful and deceptive responses to interview questions. We also study the perception of deception, identifying characteristics of statements that are perceived as truthful or deceptive by interviewers. Our analysis s...	[ 7842466, 5805445, 1947247, 15843994, 10186140 ]	Linguistic Cues to Deception and Perceived Deception in Interview Dialogues Association for Computational LinguisticsCopyright Association for Computational LinguisticsJune 1 -6. 2018. 2018 Sarah Ita Levitan sarahita@cs Department of Computer Science Columbia University New York NYUSA Angel Maredia Department of Co...
14,363,654	Similarities and Differences among Semantic Behaviors of Japanese Adnominal Constituents	This paper treats the classification of the semantic functions performed by adnominal constituents in Japanese, where many parts of speech act as adnominal constituents. In order to establish a formal treatment of the semantic roles, the similarities and differences among adnominal constituents, i.e. adjectives and "no...	[ 8806715, 3266611, 15792191 ]	Similarities and Differences among Semantic Behaviors of Japanese Adnominal Constituents Kyoko Kanzaki Communications Research Laboratory Iwaoka-cho, Nishi-ku588-2, 651-2492Iwaoka, KobeJapan Qing Ma Communications Research Laboratory Iwaoka-cho, Nishi-ku588-2, 651-2492Iwaoka, KobeJapan Hitoshi Isahara Communicat...
219,304,838			[]	The Logic of Typed Feature Structures Cambridge University PressCopyright Cambridge University Press1992 Bob Carpenter Mellon University Carnegie, CambridgeEngland The Logic of Typed Feature Structures Computational Linguistics Cambridge TractsCambridge University Press1931992Reviewed by Fernando Pereira AT& T Bell...
174,800,545	Word-Node2Vec: Improving Word Embedding with Document-Level Non-Local Word Co-occurrences	Standard word embedding algorithms, such as word2vec and Glove, make a restrictive assumption that words are likely to be semantically related only if they co-occur locally within a window of fixed size. However, this restrictive assumption may not capture the semantic association between words that co-occur frequently...	[ 3626819, 7478738, 51838647, 1957433, 5278106 ]	Word-Node2Vec: Improving Word Embedding with Document-Level Non-Local Word Co-occurrences Association for Computational LinguisticsCopyright Association for Computational LinguisticsJune 2 -June 7, 2019. 2019 Procheta Sen procheta.sen2@mail.dcu.ie ADAPT Centre School of Computing Dublin City University DublinIreland ...
248,780,565	Data Augmentation and Learned Layer Aggregation for Improved Multilingual Language Understanding in Dialogue	Scaling dialogue systems to a multitude of domains, tasks and languages relies on costly and time-consuming data annotation for different domain-task-language configurations. The annotation efforts might be substantially reduced by the methods that generalise well in zero-and few-shot scenarios, and also effectively le...	[ 221535522, 224725731, 155092004, 222290596, 202775306, 233241004, 218470125, 218977361, 53110354, 216641842, 235303641, 216036089, 201660404, 19166969, 162183964, 56895551, 17625727 ]	Data Augmentation and Learned Layer Aggregation for Improved Multilingual Language Understanding in Dialogue 2017 -2033 May 22-27, 2022 Evgeniia Razumovskaia Language Technology Lab University of Cambridge Ivan Vulić Language Technology Lab University of Cambridge Anna Korhonen Language Technology Lab Universit...
7,403,520	A Formal Scheme for Multimodal Grammars	We present in this paper a formal approach for the representation of multimodal information. This approach, thanks to the to use of typed feature structures and hypergraphs, generalizes existing ones (typically annotation graphs) in several ways. It first proposes an homogenous representation of different types of info...	[ 18212263, 17632922, 5349301, 16382303 ]	A Formal Scheme for Multimodal Grammars August 2010 Philippe Blache blache@lpl-aix.fr LPL-CNRS Université de Provence Laurent Prévot LPL-CNRS Université de Provence A Formal Scheme for Multimodal Grammars Coling 2010: Poster Volume BeijingAugust 2010 We present in this paper a formal approach for the representa...
32,615,509	Construction automatique d'un lexique de modifieurs de polarité	La recherche présentée 1 s'inscrit dans le domaine de la fouille d'opinion, domaine qui consiste principalement à déterminer la polarité d'un texte ou d'une phrase. Dans cette optique, le contexte autour d'un mot polarisé joue un rôle essentiel, car il peut modifier la polarité initiale de ce terme. Nous avons choisi d...	[ 141434080, 194052360, 3181362 ]	Construction automatique d'un lexique de modifieurs de polarité 2012. 2012. 2012. 27 juin -1 er juillet 2011 Actes De La Conférence Conjointe Jep-Taln-Recital Construction automatique d'un lexique de modifieurs de polarité ATALA & AFCP TALN 2011 Grenoble, 4 au 8 juin; Montpellier32012. 2012. 2012. 27 juin -1 er jui...
9,507,963	Using Parsed Corpora for Structural Disambiguation in the TRAINS Domain	This paper describes a prototype disambiguation module, KANKEI, which was tested on two corpora of the TRAINS project. In ambiguous verb phrases of form V ... NP PP or V ... NP adverb(s), the two corpora have very different PP and adverb attachment patterns; in the first, the correct attachment is to the VP 88.7% of th...	[ 4683457, 62536391, 543 ]	Using Parsed Corpora for Structural Disambiguation in the TRAINS Domain Mark Core mcore@cs.rochester.edu Department of Computer Science University of Rochester Rochester 14627New York Using Parsed Corpora for Structural Disambiguation in the TRAINS Domain This paper describes a prototype disambiguation module, KAN...
17,934,558	The More the Better? Assessing the Influence of Wikipedia's Growth on Semantic Relatedness Measures	Wikipedia has been used as a knowledge source in many areas of natural language processing. As most studies only use a certain Wikipedia snapshot, the influence of Wikipedia's massive growth on the results is largely unknown. For the first time, we perform an in-depth analysis of this influence using semantic relatedne...	[ 15754496, 405, 10089399, 6896607, 6181951 ]	The More the Better? Assessing the Influence of Wikipedia's Growth on Semantic Relatedness Measures Torsten Zesch Ubiquitous Knowledge Processing Lab Computer Science Department Technische Universität Darmstadt Hochschulstraße 10D-64289DarmstadtGermany Iryna Gurevych Ubiquitous Knowledge Processing Lab Computer Sc...
15,221,229	ISSUES IN DESIGN AND COLLECTION OF LARGE TELEPHONE SPEECH CORPUS FOR SLOVENIAN LANGUAGE	In this paper, different issues in design, collection and evaluation of the large vocabulary telephone speech corpus of Slovenian language are discussed. The database is composed of three text corpora containing 1530 different sentences. It contains read speech of 82 speakers where each speaker read in average more tha...	[]	ISSUES IN DESIGN AND COLLECTION OF LARGE TELEPHONE SPEECH CORPUS FOR SLOVENIAN LANGUAGE Zdravko Dþlþbogomir Horvat Faculty of Electrical Engineering and Computer Science University of Maribor Smetanova 172000MariborSlovenia R University of Maribor Research and Study Centre Razlagova 222000MariborSlovenia Aleksandr...
16,222,374	Focusing Annotation for Semantic Role Labeling	Annotation of data is a time-consuming process, but necessary for many state-of-the-art solutions to NLP tasks, including semantic role labeling (SRL). In this paper, we show that language models may be used to select sentences that are more useful to annotate. We simulate a situation where only a portion of the availa...	[ 8589745, 890946, 8275542 ]	Focusing Annotation for Semantic Role Labeling Daniel Peterson daniel.w.peterson@colorado.edu University of Colorado Martha Palmer mpalmer@colorado.edu University of Colorado Shumin Wu shumin.wu@colorado.edu University of Colorado Focusing Annotation for Semantic Role Labeling SemanticsLanguage ModelingAnnot...
207,960,468		With the evolution of network communication technology and advances in multimedia application, speech or data networks over an IP connection are vulnerable to threats. Therefore, the need to protect data attracts many researches on safe communications, especially speech secure communication. Additionally, with the larg...	[]	With the evolution of network communication technology and advances in multimedia application, speech or data networks over an IP connection are vulnerable to threats. Therefore, the need to protect data attracts many researches on safe communications, especially speech secure communication. Additionally, with the larg...
14,585,731		To support context-based multimodal interpretation in conversational systems, we have developed a semantics-based representation to capture salient information from user inputs and the overall conversation. In particular, we present three unique characteristics: finegrained semantic models, flexible composition of feat...	[ 851193, 2570492 ]	IBM T. J. Watson Research Center 19 Skyline Drive Hawthorne10532NYUSA To support context-based multimodal interpretation in conversational systems, we have developed a semantics-based representation to capture salient information from user inputs and the overall conversation. In particular, we present three unique cha...
259,376,635	Towards Extracting and Understanding the Implicit Rubrics of Transformer Based Automated Essay Scoring Models	By aligning the functional components derived from the activations of transformer models trained for AES with external knowledge such as human-understandable feature groups, the proposed method improves the interpretability of a Longformer Automated Essay Scoring (AES) system and provides tools for performing such anal...	[ 227231681, 196211427, 233181831, 250390536, 198974889, 10986188, 34975990, 51874490, 51878395, 237513725, 24461982 ]	Towards Extracting and Understanding the Implicit Rubrics of Transformer Based Automated Essay Scoring Models July 13, 2023 James Fiacco jfiacco@cs.cmu.edu Language Technologies Institute Language Technologies Institute Carnegie Mellon University Carnegie Mellon University David Adamson Turnitin Language Technolog...
11,200,252	Random Graph Model Simulations of Semantic Networks for Associative Concept Dictionaries	Word association data in dictionary form can be simulated through the combination of three components: a bipartite graph with an imbalance in set sizes; a scale-free graph of the Barabási-Albert model; and a normal distribution connecting the two graphs. Such a model makes it possible to simulate the complex features i...	[]	Random Graph Model Simulations of Semantic Networks for Associative Concept Dictionaries ManchesterCopyright Manchester2008. August 2008 Hiroyuki Akama akama@dp.hum.titech.ac.jp Tokyo Institute of Technology 2-12-1 O-okayama Meguro-ku152-8550TokyoJapan Terry Joyce Tama University 802 Engyo Fujisawa-shi Kanagawa-ken...
15,369,498	A PropBank for Portuguese: the CINTIL-PropBank	With the CINTIL-International Corpus of Portuguese, an ongoing corpus annotated with fully flegded grammatical representation, sentences get not only a high level of lexical, morphological and syntactic annotation but also a semantic analysis that prepares the data to a manual specification step and thus opens the way ...	[ 2486369, 10540932, 16509032, 30354032, 13350236, 252796 ]	A PropBank for Portuguese: the CINTIL-PropBank António Branco antonio.branco@di.fc.ul.pt Departamento de Informática Faculdade de Ciências University of Lisbon Edifício C6 Universidade de Lisboa Campo Grande 1749-016Portugal Catarina Carvalheiro catarina.carvalheiro@di.fc.ul.pt Departamento de Informática Faculdad...
8,732,490	Cross-lingual Projections between Languages from Different Families	Cross-lingual projection methods can benefit from resource-rich languages to improve performances of NLP tasks in resources-scarce languages.However, these methods confronted the difficulty of syntactic differences between languages especially when the pair of languages varies greatly. To make the projection method wel...	[ 10986188, 2037646, 15279538, 6698104, 1324511 ]	Cross-lingual Projections between Languages from Different Families August 4-9 Mo Yu yumo@mtlab.hit.edu.cn School of Computer Science and Technology Harbin Institute of Technology HarbinChina Tiejun Zhao tjzhao@mtlab.hit.edu.cn School of Computer Science and Technology Harbin Institute of Technology HarbinChina Ya...
15,770,107	The Simple Truth about Dependency and Phrase Structure Representations An Opinion Piece	There are many misconceptions about dependency representations and phrase structure representations for syntax. They are partly due to terminological confusion, partly due to a lack of meta-scientific clarity about the roles of representations and linguistic theories. This opinion piece argues for a simple but clear vi...	[ 7140689, 5151364, 6434733 ]	The Simple Truth about Dependency and Phrase Structure Representations An Opinion Piece Association for Computational LinguisticsCopyright Association for Computational LinguisticsJune 2010. 2010 Owen Rambow rambow@ccls.columbia.edu CCLS Columbia University New York NYUSA The Simple Truth about Dependency and Phrase...
909,576	A Hybrid Approach to Chinese Word Segmentation around CRFs	In this paper, we present a Chinese word segmentation system which is consisted of four components, i.e. basic segmentation, named entity recognition, error-driven learner and new word detector. The basic segmentation and named entity recognition, implemented based on conditional random fields, are used to generate ini...	[ 10649571, 2673781 ]	A Hybrid Approach to Chinese Word Segmentation around CRFs Jun-Sheng Zhou zhoujs@nlp.nju.edu.cn Department of Computer Science and Technology Nanjing University 210093NanjingCHINA Xin-Yu Dai Department of Computer Science and Technology Nanjing University 210093NanjingCHINA Deptartment of Computer Science Nanjing...
250,390,430	CLUZH at SIGMORPHON 2022 Shared Tasks on Morpheme Segmentation and Inflection Generation	This paper describes the submissions of the team of the Department of Computational Linguistics, University of Zurich, to the SIGMOR-PHON 2022 Shared Tasks on Morpheme Segmentation and Inflection Generation. Our submissions use a character-level neural transducer that operates over traditional edit actions. While this ...	[ 220045952, 236486209, 220285889, 218718982, 235253831, 6628106, 250391087, 102351730, 52144307, 249674559 ]	CLUZH at SIGMORPHON 2022 Shared Tasks on Morpheme Segmentation and Inflection Generation July 14, 2022 Silvan Wehrli silvan.wehrli@uzh.ch Department of Computational Linguistics University of Zurich Switzerland Simon Clematide simon.clematide@cl.uzh.ch Department of Computational Linguistics University of Zurich Sw...
129,092	A Systematic Study of Semantic Vector Space Model Parameters	We present a systematic study of parameters used in the construction of semantic vector space models. Evaluation is carried out on a variety of similarity tasks, including a compositionality dataset, using several source corpora. In addition to recommendations for optimal parameters, we present some novel findings, inc...	[ 7919491, 7747235, 11567084, 8712237, 8927694, 8701528 ]	A Systematic Study of Semantic Vector Space Model Parameters Association for Computational LinguisticsCopyright Association for Computational LinguisticsApril 26-30 2014. 2014 Douwe Kiela douwe.kiela@cl.cam.ac.uk Computer Laboratory University of Cambridge Computer Laboratory University of Cambridge Stephen Clark ...
1,843,560	Evaluation Dataset (DT-Grade) and Word Weighting Approach towards Constructed Short Answers Assessment in Tutorial Dialogue Context	Evaluating student answers often requires contextual information, such as previous utterances in conversational tutoring systems. For example, students use coreferences and write elliptical responses, i.e. incomplete but can be interpreted in context. The DT-Grade corpus which we present in this paper consists of short...	[ 1671874, 15813737, 2988106, 14068874, 691094, 2233498, 11650107, 2245052, 14807742 ]	Evaluation Dataset (DT-Grade) and Word Weighting Approach towards Constructed Short Answers Assessment in Tutorial Dialogue Context June 16 Rajendra Banjade rbanjade@memphis.edu Department of Computer Science / Institute for Intelligent Systems The University of Memphis Memphis TNUSA Nabin Maharjan nmharjan@memphis....
220,445,385			[]	BIT's system for the AutoSimTrans 2020 July 10, 2020 Minqin Li lmqminqinli@163.com Beijing Institute of Technology BeijingChina Haodong Cheng Beijing Institute of Technology BeijingChina Yuanjie Wang Beijing Institute of Technology BeijingChina Sijia Zhang Beijing Institute of Technology BeijingChina Liting Wu...
28,253,803	Kimnio Kettunen SITRA Foundation SF-00121 HELSINKI ON MODELLING DEPENDENCY-ORIENTED PARSING		[ 9946363, 15605878 ]	Kimnio Kettunen SITRA Foundation SF-00121 HELSINKI ON MODELLING DEPENDENCY-ORIENTED PARSING P O Box Kimnio Kettunen SITRA Foundation SF-00121 HELSINKI ON MODELLING DEPENDENCY-ORIENTED PARSING This paper describes some basic linguistical characteristics of the parser, DADA, that has been implemented as a part of a...