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
1,269,169	A Statistical Parser for Czech*	This paper considers statistical parsing of Czech, which differs radically from English in at least two respects: (1) it is a highly inflected language, and (2) it has relatively free word order. These differences are likely to pose new problems for techniques that have been developed on English. We describe our experi...	[ 608, 1345, 12227075, 330, 12615602, 252796, 3262717 ]	A Statistical Parser for Czech* Michael Collins mcollins@research@att.com Jan Haj Lance Ramshaw iramshaw@bbn@com Christoph Tillmann Institute of Formal and Applied Linguistics AT&T Labs-Research Shannon Laboratory 180 Park Avenue, Florham Park07932NJ Charles University PragueCzech Republic Lehrstuhl ftir Inf...
17,321,205	COMPUTATIONAL COMPLEXITY IN TWO-LEVEL MORPHOLOGY	Morphological analysis must take into account the spelling-change processes of a language as well as its possible configurations of stems, affixes, and inflectional markings. The computational difficulty of the task can be clarified by investigating specific models of morphological processing. The use of finite-state m...	[ 17321205 ]	COMPUTATIONAL COMPLEXITY IN TWO-LEVEL MORPHOLOGY G Edward Barton Jr M.I.T. Artificial Intelligence Laboratory 545 Technology Square Cambridge 02139MA COMPUTATIONAL COMPLEXITY IN TWO-LEVEL MORPHOLOGY Morphological analysis must take into account the spelling-change processes of a language as well as its possible con...
5,459,895	INCREMENTAL LL(l) PARSING IN LANGUAGE-BASED EDITORS	This paper introduces an efficient incremental LL(l) parsing algorithm for use in language-based editors that use the structure recognition approach. It fe atures very fine grained analysis and a unique approach to parse control and error recovery. It also presents incomplete LL(l) grammars as a way of dealing with the...	[]	INCREMENTAL LL(l) PARSING IN LANGUAGE-BASED EDITORS John J Shilling shilling@cc.gatech.edu College of Computing Georgia Institute of Technology Atlanta 30332-0280Georgia INCREMENTAL LL(l) PARSING IN LANGUAGE-BASED EDITORS This paper introduces an efficient incremental LL(l) parsing algorithm for use in language-ba...
220,837,074			[]	Changement stylistique de phrases par apprentissage faiblement supervisé Damien Sileo damien.sileo@synapse-fr.com Synapse Développement 5 Rue du Moulin Bayard31000Toulouse Camille Pradel camille.pradel@synapse-fr.com Synapse Développement 5 Rue du Moulin Bayard31000Toulouse Philippe Muller philippe.muller@irit.fr...
252,819,332	MANTIS at SMM4H'2022: Pre-Trained Language Models Meet a Suite of Psycholinguistic Features for the Detection of Self-Reported Chronic Stress	This paper describes our submission to the Social Media Mining for Health (SMM4H) 2022 Shared Task 8, aimed at detecting selfreported chronic stress on Twitter. Our approach leverages a pre-trained transformer model (RoBERTa) in combination with a Bidirectional Long Short-Term Memory (BiLSTM) network trained on a diver...	[ 207870937, 14068874 ]	MANTIS at SMM4H'2022: Pre-Trained Language Models Meet a Suite of Psycholinguistic Features for the Detection of Self-Reported Chronic Stress 18 October 12-17, 2022 Sourabh Zanwar sourabh.zanwar@rwth-aachen.de RWTH Aachen University University of Amsterdam RWTH Aachen University RWTH Aachen University Daniel Wiechm...
196,211,550	Scaling Up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title	Supplementing product information by extracting attribute values from title is a crucial task in e-Commerce domain. Previous studies treat each attribute only as an entity type and build one set of NER tags (e.g., BIO) for each of them, leading to a scalability issue which unfits to the large sized attribute system in ...	[ 6300165, 2747277, 6042994, 2844020, 10489017 ]	Scaling Up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title Association for Computational LinguisticsCopyright Association for Computational LinguisticsJuly 28 -August 2, 2019. 2019 Huimin Xu School of Computer Science and Software Engineering East China Norma...
19,011,769	Collective Opinion Target Extraction in Chinese Microblogs	Microblog messages pose severe challenges for current sentiment analysis techniques due to some inherent characteristics such as the length limit and informal writing style. In this paper, we study the problem of extracting opinion targets of Chinese microblog messages. Such fine-grained word-level task has not been we...	[ 12211329, 12979818, 6684426, 16719115, 15652752, 7105713 ]	Collective Opinion Target Extraction in Chinese Microblogs Association for Computational LinguisticsCopyright Association for Computational Linguistics18-21 October 2013. 2013 Xinjie Zhou zhouxinjie@pku.edu.cn Institute of Computer Science and Technology The MOE Key Laboratory of Computational Linguistics Peking Univ...
491,439	AUEB: Two Stage Sentiment Analysis of Social Network Messages	This paper describes the system submitted for the Sentiment Analysis in Twitter Task of SEMEVAL 2014 and specifically the Message Polarity Classification subtask. We used a 2-stage pipeline approach employing a linear SVM classifier at each stage and several features including morphological features, POS tags based fea...	[ 388, 13886408, 12979818, 13845267, 62442869, 15720214 ]	AUEB: Two Stage Sentiment Analysis of Social Network Messages SemEval 2014. August 23-24, 2014 Rafael Michael Karampatsis Department of Informatics Athens University of Economics Business Patission 76GR-104 34AthensGreece John Pavlopoulos Department of Informatics Athens University of Economics Business Patission 7...
9,169,716	A Human Judgment Corpus and a Metric for Arabic MT Evaluation	We present a human judgments dataset and an adapted metric for evaluation of Arabic machine translation. Our mediumscale dataset is the first of its kind for Arabic with high annotation quality. We use the dataset to adapt the BLEU score for Arabic. Our score (AL-BLEU) provides partial credits for stem and morphologica...	[ 8882144, 813729, 15897060, 2247531, 3112492, 3046638, 21136496, 7647892, 1553433, 2055676 ]	A Human Judgment Corpus and a Metric for Arabic MT Evaluation Association for Computational LinguisticsCopyright Association for Computational LinguisticsOctober 25-29, 2014. 2014 Houda Bouamor hbouamor@cmu.edu Carnegie Mellon University Qatar Hanan Alshikhabobakr Carnegie Mellon University Qatar Behrang Mohit beh...
251,466,086	Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking	Medical data annotation requires highly qualified expertise. Despite the efforts devoted to medical entity linking in different languages, available data is very sparse in terms of both data volume and languages. In this work, we establish benchmarks for cross-lingual medical entity linking using clinical reports, clin...	[ 2326624, 208117506, 52967399, 44094153, 189999659, 196185195, 235254228, 227231160, 218470427, 196197662 ]	Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking June 2022 Anton Alekseev anton.m.alexeyev@gmail.com Steklov Mathematical Institute at St. Petersburg St. PetersburgRussia SPbSU St. PetersburgRussia Zulfat Miftahutdinov zulfatmi@gmail.com Kazan Federal University KazanRussia Elena Tutubalina...
465,873	Modeling language evolution with codes that utilize context and phonetic features	We present methods for investigating processes of evolution in a language family by modeling relationships among the observed languages. The models aim to find regularities-regular correspondences in lexical data. We present an algorithm which codes the data using phonetic features of sounds, and learns longrange conte...	[ 10512621, 16108530, 2038068, 1591992, 405662 ]	Modeling language evolution with codes that utilize context and phonetic features Association for Computational LinguisticsCopyright Association for Computational LinguisticsAugust 7-12, 2016. 2016 Javad Nouri Department of Computer Science University of Helsinki Finland Roman Yangarber Department of Computer Scien...
14,386,564	A STATISTICAL APPROACH TO MACHINE TRANSLATION	In this paper, we present a statistical approach to machine translation. We describe the application of our approach to translation from French to English and give preliminary results. Peter F. Brown et al. A Statistical Approach to Machine Translation Source Language Model S t TranslatiOnModel T Pr(S) x Pr(TIS) = Pr(S...	[ 18361921, 17402234 ]	A STATISTICAL APPROACH TO MACHINE TRANSLATION Peter F Brown IBM Thomas J. Watson Research Center Yorktown Heights NY John Cocke IBM Thomas J. Watson Research Center Yorktown Heights NY Stephen A Della Pietra IBM Thomas J. Watson Research Center Yorktown Heights NY Vincent J Della IBM Thomas J. Watson Research ...
5,598,307	Segmentation and Translation of Japanese Multi-word Loanwords	The Japanese language has absorbed large numbers of loanwords from many languages, in particular English. As well as using single loanwords, compound nouns, multiword expressions (MWEs), etc. constructed from loanwords can be found in use in very large quantities. In this paper we describe a system which has been devel...	[ 9426034, 7418935, 6645623 ]	Segmentation and Translation of Japanese Multi-word Loanwords James Breen jimbreen@gmail.com The University of Melbourne The University of Melbourne Nanyang Technological University Singapore Timothy Baldwin The University of Melbourne The University of Melbourne Nanyang Technological University Singapore Francis...
6,844,025	Mining Tables from Large Scale HTML Texts	Table is a very common presentation scheme, but few papers touch on table extraction in text data mining. This paper l'ocuscs on mining tables from large-scale HTML texts.Table filtering,recognition, interpretation, and presentation arc discussed. Heuristic rules and cell similarities arc employed to identify tables. ...	[ 1432114, 16206198 ]	Mining Tables from Large Scale HTML Texts Hsin-Hsi Chen hh_chen@csie.ntu.edu.tw Department o1' Computer Science hfformation Engiueering National Taiwan University Taipei TAIWAN, R.O.C Shih-Chung Tsai Department o1' Computer Science hfformation Engiueering National Taiwan University Taipei TAIWAN, R.O.C Jin-He Tsa...
10,102,597	Unsupervised Segmentation Helps Supervised Learning of Character Tagging for Word Segmentation and Named Entity Recognition	This paper describes a novel character tagging approach to Chinese word segmentation and named entity recognition (NER) for our participation in Bakeoff-4. 1 It integrates unsupervised segmentation and conditional random fields (CRFs) learning successfully, using similar character tags and feature templates for both wo...	[ 8467680, 1654945, 14161026, 18371469, 15095698, 2776693, 5275640 ]	Unsupervised Segmentation Helps Supervised Learning of Character Tagging for Word Segmentation and Named Entity Recognition Hai Zhao haizhao@cityu.edu.hk Department of Chinese, Translation and Linguistics City University of Hong Kong Tat Chee Ave Kowloon, Hong Kong Chunyu Kit ctckit@cityu.edu.hk Department of Chin...
1,234,375	Text-level Discourse Dependency Parsing	Previous researches on Text-level discourse parsing mainly made use of constituency structure to parse the whole document into one discourse tree. In this paper, we present the limitations of constituency based discourse parsing and first propose to use dependency structure to directly represent the relations between e...	[ 1157793, 5187426, 11919464, 6174034, 360083, 1421908, 12926517, 15893207, 3262717, 901375 ]	Text-level Discourse Dependency Parsing June 23-25 Sujian Li Key Laboratory of Computational Linguistics MOE Peking University China Liang Wang Key Laboratory of Computational Linguistics MOE Peking University China Ziqiang Cao ziqiangyeah@pku.edu.cncswjli@comp.polyu.edu.hk Key Laboratory of Computational Linguis...
13,072,792	The C-Score -Proposing a Reading Comprehension Metrics as a Common Evaluation Measure for Text Simplification	This article addresses the lack of common approaches for text simplification evaluation, by presenting the first attempt for a common evaluation metrics. The article proposes reading comprehension evaluation as a method for evaluating the results of Text Simplification (TS). An experiment, as an example application of ...	[ 8463747, 2382276, 15700645, 16215847, 6412912, 5477884, 9945908, 2935285, 15636533, 8884060, 4896510 ]	The C-Score -Proposing a Reading Comprehension Metrics as a Common Evaluation Measure for Text Simplification Association for Computational LinguisticsCopyright Association for Computational LinguisticsAugust 4-9 2013. 2013 Irina Temnikova irina.temnikova@gmail.com Linguistic Modelling Department Institute of Informa...
235,599,150			[]	Improving English to Spanish Out-of-Domain Translations by Morphology Generalization and Generation Lluís Formiga lluis.formiga@upc.edu Universitat Politècnica de Catalunya (UPC) 08034BarcelonaSpain Adolfo Hernández adolfo.hernandez@upc.edu Universitat Politècnica de Catalunya (UPC) 08034BarcelonaSpain José B Mar...
21,687,487	Annotated Corpus of Scientific Conference's Homepages for Information Extraction	In this paper, we present a new corpus that contains 943 homepages of scientific conferences, 14794 including subpages, with annotations of interesting information: name of a conference, its abbreviation, place, and several important dates; that is, submission, notification, and camera ready dates. The topics of confer...	[ 16514634, 10298501 ]	Annotated Corpus of Scientific Conference's Homepages for Information Extraction Piotr Andruszkiewicz p.andruszkiewicz@ii.pw.edu.pl Instititute of Computer Science Warsaw University of Technology Warsaw Poland Rafał Hazan r.hazan@stud.elka.pw.edu.pl Instititute of Computer Science Warsaw University of Technology W...
34,700,045	Multivariate Linear Regression of Symptoms-related Tweets for Infectious Gastroenteritis Scale Estimation	To date, various Twitter-based event detection systems have been proposed. Most of their targets, however, share common characteristics. They are seasonal or global events such as earthquakes and flu pandemics. In contrast, this study targets unseasonal and local disease events. Our system investigates the frequencies ...	[ 12248612, 2876214, 7418935 ]	Multivariate Linear Regression of Symptoms-related Tweets for Infectious Gastroenteritis Scale Estimation AFNLPCopyright AFNLPNovember 27, 2017. 2017 Ryo Takeuchi takeuchi.ryo.tj7@is.naist.jp Hayate Iso iso.hayate.id3@is.naist.jp Kaoru Ito kito@is.naist.jp Shoko Wakamiya wakamiya@is.naist.jp Eiji Aramaki aramaki@i...
26,397,607	Object-oriented Neural Programming (OONP) for Document Understanding	We propose Object-oriented Neural Programming (OONP), a framework for semantically parsing documents in specific domains. Basically, OONP reads a document and parses it into a predesigned object-oriented data structure (referred to as ontology in this paper) that reflects the domain-specific semantics of the document. ...	[ 12873739, 15412473, 5590763 ]	Object-oriented Neural Programming (OONP) for Document Understanding Zhengdong Lu Department of Bio-medical Engineering Tsinghua University Haotian Cui Department of Bio-medical Engineering Tsinghua University Xianggen Liu Department of Bio-medical Engineering Tsinghua University Yukun Yan Department of Bio...
10,642,417	Exploring Affect-Context Dependencies for Adaptive System Development	We use χ 2 to investigate the context dependency of student affect in our computer tutoring dialogues, targeting uncertainty in student answers in 3 automatically monitorable contexts. Our results show significant dependencies between uncertain answers and specific contexts. Identification and analysis of these depende...	[ 12083964 ]	Exploring Affect-Context Dependencies for Adaptive System Development Association for Computational LinguisticsCopyright Association for Computational LinguisticsApril 2007. 2007 Kate Forbes-Riley Learning R&D Ctr. Univ. Pittsburgh Pittsburgh Computer Science Dpt. Univ. Pittsburgh Pittsburgh Learning R&D Ctr. Compute...
7,184,744	Integrating a Phrase-based SMT Model and a Bilingual Lexicon for Human in Semi-Automatic Acquisition of Technical Term Translation Lexicon	This paper presents an attempt at developing a technique of acquiring translation pairs of technical terms with sufficiently high precision from parallel patent documents. The approach taken in the proposed technique is based on integrating the phrase translation table of a state-of-the-art statistical phrasebased mach...	[ 10311619, 14421001, 8884845, 15034416, 12146323, 4593718, 2357627, 5219389 ]	Integrating a Phrase-based SMT Model and a Bilingual Lexicon for Human in Semi-Automatic Acquisition of Technical Term Translation Lexicon Yohei Morishita Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba 305-8573JAPAN Takehito Utsuro Graduate School of Systems and Information En...
236,778,532			[]	MACHINE TRANSLATION IN SAUDI ARABIA Ph.DMahmoud Esma'il Sieny Translation Centre King Saud University MACHINE TRANSLATION IN SAUDI ARABIA It is a well known fact that machine and machine aided translation have been gaining ground at the various public and private institutions since the mid-seventies in many ...
7,814,136	Improved Phrase-based SMT with Syntactic Reordering Patterns Learned from Lattice Scoring	In this paper, we present a novel approach to incorporate source-side syntactic reordering patterns into phrase-based SMT. The main contribution of this work is to use the lattice scoring approach to exploit and utilize reordering information that is favoured by the baseline PBSMT system. By referring to the parse tree...	[ 1111494, 751375, 16847508, 6826069, 7075805 ]	Improved Phrase-based SMT with Syntactic Reordering Patterns Learned from Lattice Scoring Jie Jiang jjiang@computing.dcu.ie School of Computing Dublin City University Glasnevin, Dublin 9Ireland Jinhua Du School of Computing Dublin City University Glasnevin, Dublin 9Ireland Andy Way Cngl School of Computing Dubli...
248,780,052	Modeling U.S. State-Level Policies by Extracting Winners and Losers from Legislative Texts	Decisions on state-level policies have a deep effect on many aspects of our everyday life, such as health-care and education access. However, there is little understanding of how these policies and decisions are being formed in the legislative process. We take a datadriven approach by decoding the impact of legislation...	[ 233365325, 18790966 ]	Modeling U.S. State-Level Policies by Extracting Winners and Losers from Legislative Texts Association for Computational LinguisticsCopyright Association for Computational LinguisticsMay 22-27, 2022 c 2022 Maryam Davoodi mdavoodi@purdue.edu Purdue University Purdue University Purdue University Eric Waltenburg Purd...
1,905,325	Comparison of Similarity Models for the Relation Discovery Task	We present results on the relation discovery task, which addresses some of the shortcomings of supervised relation extraction by applying minimally supervised methods. We describe a detailed experimental design that compares various configurations of conceptual representations and similarity measures across six differe...	[ 5139774, 6204420, 1077383, 6305097, 2096243, 2480472, 10827006 ]	Comparison of Similarity Models for the Relation Discovery Task Association for Computational LinguisticsCopyright Association for Computational LinguisticsJuly 2006. 2006 Ben Hachey bhachey@inf.ed.ac.uk School of Informatics University of Edinburgh Buccleuch Place EH8 9LWEdinburgh Comparison of Similarity Models ...
15,123,272	A Comparative Study on Reordering Constraints in Statistical Machine Translation	In statistical machine translation, the generation of a translation hypothesis is computationally expensive. If arbitrary wordreorderings are permitted, the search problem is NP-hard. On the other hand, if we restrict the possible word-reorderings in an appropriate way, we obtain a polynomial-time search algorithm.In t...	[ 14386564, 2650085, 5284722, 284436, 74294, 912349 ]	A Comparative Study on Reordering Constraints in Statistical Machine Translation Richard Zens zens@cs.rwth-aachen.de Chair of Computer Science VI RWTH Aachen -University of Technology Hermann Ney ney@cs.rwth-aachen.de Chair of Computer Science VI RWTH Aachen -University of Technology A Comparative Study on Reor...
18,473,670	SAP-RI: A Constrained and Supervised Approach for Aspect-Based Sentiment Analysis	We describe the submission of the SAP Research & Innovation team to the Se-mEval 2014 Task 4: Aspect-Based Sentiment Analysis (ABSA). Our system follows a constrained and supervised approach for aspect term extraction, categorization and sentiment classification of online reviews and the details are included in this pa...	[ 13886408, 61955135 ]	SAP-RI: A Constrained and Supervised Approach for Aspect-Based Sentiment Analysis SemEval 2014. August 23-24, 2014 Nishtha Malhotra nishtha.malhotra@sap.com Research & Innovation SAP Asia Singapore Nanyang Technological University Singapore Akriti Vij akriti.vij@sap.com Research & Innovation SAP Asia Singapore Na...
17,876,020	On the reliability and inter-annotator agreement of human semantic MT evaluation via HMEANT	We present analyses showing that HMEANT is a reliable, accurate and fine-grained semantic frame based human MT evaluation metric with high inter-annotator agreement (IAA) and correlation with human adequacy judgments, despite only requiring a minimal training of about 15 minutes for lay annotators. Previous work shows ...	[ 2464290, 2331493, 5280872, 974899, 12617973, 14287994, 40322238 ]	On the reliability and inter-annotator agreement of human semantic MT evaluation via HMEANT Chi-Kiu Lo Department of Computer Science and Engineering HKUST Human Language Technology Center Hong Kong University of Science and Technology Clear Water Bay Kowloon, Hong Kong Dekai Wu Department of Computer Science and ...
235,258,283			[]	Fine-grained Named Entity Annotation for Finnish Jouni Luoma jouni.a.luoma@utu.fi TurkuNLP group Department of Computing Faculty of Technology University of Turku Finland Li-Hsin Chang lhchan@utu.fi TurkuNLP group Department of Computing Faculty of Technology University of Turku Finland Filip Ginter TurkuNLP gro...
8,813,310	IMPLEMENTING THE GENERALIZED WORD ORDER GRAMMARS OF CHOMSKY AND DIDERICHSEN		[]	IMPLEMENTING THE GENERALIZED WORD ORDER GRAMMARS OF CHOMSKY AND DIDERICHSEN Bengt Sigurd linglund@gemini.ldc.lu.se Dept of Linguistics Lund University Helgonabacken 12S-223 62LundSWEDEN IMPLEMENTING THE GENERALIZED WORD ORDER GRAMMARS OF CHOMSKY AND DIDERICHSEN Many of the insights of Transformational Grammar (...
256,461,137	How (Un)Faithful is Attention?	Although attention weights have been commonly used as a means to provide explanations for deep learning models, the approach has been widely criticized due to its lack of faithfulness. In this work, we present a simple approach to compute the newly proposed metric AtteFa, which can quantitatively represent the degree o...	[ 207556454, 982761, 6628106, 5590763, 18993998, 51979567, 1998416, 11212020, 67855860, 9549525, 15280949, 199552244, 182953113, 5959482, 2103669 ]	How (Un)Faithful is Attention? December 8, 2022 Hessam Amini hessam.amini@mail.concordia.ca Department of Computer Science and Software Engineering Computational Linguistics at Concordia (CLaC) Laboratory Concordia University MontrealCanada Leila Kosseim leila.kosseim@concordia.ca Department of Computer Science and...
256,461,387	Named Entity Recognition as Structured Span Prediction	Named Entity Recognition (NER) is an important task in Natural Language Processing with applications in many domains. While the dominant paradigm of NER is sequence labelling, span-based approaches have become very popular in recent times but are less well understood. In this work, we study different aspects of span-ba...	[ 5249216, 1222212, 2794372, 235266246, 52967399, 241583206, 218630027, 52118895, 6042994, 231698515, 52010710, 228084090 ]	Named Entity Recognition as Structured Span Prediction December 7, 2022 Urchade Zaratiana urchade.zaratiana@fi-group.com LIPN UMR 7030 CNRS France Nadi Tomeh tomeh@lipn.fr LIPN UMR 7030 CNRS France Pierre Holat pierre.holah@fi-group.com LIPN UMR 7030 CNRS France Thierry Charnois charnois@lipn.fr LIPN UMR 7030 C...
227,905,304			[]	Chinese Grammatical Error Diagnosis with Graph Convolution Network and Multi-task Learning Association for Computational LinguisticsCopyright Association for Computational LinguisticsDecember 4, 2020. 2020 Yikang Luo †luoyikang@sjtu.edu.cn‡zuyi.bzy School of Software Shanghai Jiao Tong University ShanghaiChina Zuyi ...
248,779,951	Named Entity Recognition for Cancer Immunology Research Using Distant Supervision	Cancer immunology research involves several important cell and protein factors. Extracting the information of such cells and proteins and the interactions between them from text are crucial in text mining for cancer immunology research. However, there are few available datasets for these entities, and the amount of ann...	[ 1222212, 52967399, 6628106, 7985741, 52118895, 53080784, 6042994 ]	Named Entity Recognition for Cancer Immunology Research Using Distant Supervision May 26, 2022 Hai-Long Trieu Artificial Intelligence Research Center (AIRC) National Institute of Advanced Industrial Science and Technology (AIST) Japan National Centre for Text Mining University of Manchester United Kingdom Makoto Mi...
15,243,221	Indonesian Dependency Treebank: Annotation and Parsing	We introduce and describe ongoing work in our Indonesian dependency treebank. We described characteristics of the source data as well as describe our annotation guidelines for creating the dependency structures. Reported within are the results from the start of the Indonesian dependency treebank.	[ 7637262, 10756783, 1916754, 1204756, 252796 ]	Indonesian Dependency Treebank: Annotation and Parsing Nathan Green green@ufal.mff.cuni.cz Charles University Prague Septina Dian Larasati larasati@ufal.mff.cuni.cz Charles University Prague SIA Tilde Institute of Formal and Applied Linguistics Vienibas gatve 75a Faculty of Mathematics and Physics Czech Republic ...
259,833,818	Effect Graph: Effect Relation Extraction for Explanation Generation	Argumentation is an important means of communication. For describing especially arguments about consequences, the notion of effect relations has been introduced recently. We propose a method to extract effect relations from large text resources and apply it on encyclopedic and argumentative texts. By connecting the ext...	[ 44146624, 6015236, 14068874, 12440940, 226262286, 236477425, 11902548, 53083029, 44145304, 236460348 ]	Effect Graph: Effect Relation Extraction for Explanation Generation June 13 Jonathan Kobbe heiner.stuckenschmidt@uni-mannheim.dei.r.karnstedt-hulpus@uu.nl Ioana Hulpus ² ¹ University of Mannheim Germany Heiner Stuckenschmidt ¹ Utrecht University Netherlands Effect Graph: Effect Relation Extraction for Explanation G...
10,736,122	Hyperedge Replacement and Nonprojective Dependency Structures	Synchronous Hyperedge ReplacementGraph Grammars (SHRG) can be used to translate between strings and graphs. In this paper, we study the capacity of these grammars to create non-projective dependency graphs. As an example, we use languages that contain cross serial dependencies.Lexicalized hyperedge replacement grammars...	[ 7138313, 7771402, 5634542, 15179694, 16394809, 18592508, 3545055 ]	Hyperedge Replacement and Nonprojective Dependency Structures June 29 -July 1, 2016 Daniel Bauer bauer@cs.columbia.edu Columbia University New York 10027NYUSA Owen Rambow rambow@cs.columbia.edu Columbia University New York 10027NYUSA Hyperedge Replacement and Nonprojective Dependency Structures Proceedings of the...
1,353,004	Effective Morphological Feature Selection with MaltOptimizer at the SPMRL 2013 Shared Task	The inclusion of morphological features provides very useful information that helps to enhance the results when parsing morphologically rich languages. MaltOptimizer is a tool, that given a data set, searches for the optimal parameters, parsing algorithm and optimal feature set achieving the best results that it can fi...	[ 14147937, 1585700, 9168100, 2252070, 16122410, 18352846, 6214640, 9117271, 2373017, 15541882, 1708411, 1743005, 15430366 ]	Effective Morphological Feature Selection with MaltOptimizer at the SPMRL 2013 Shared Task Association for Computational LinguisticsCopyright Association for Computational Linguistics18 October 2013. 2013 Miguel Ballesteros miguel.ballesteros@upf.edu Natural Language Processing Group Pompeu Fabra University Barcelona...