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
14,284,100	Discriminative vs. Generative Approaches in Semantic Role Labeling	This paper describes the two algorithms we developed for the CoNLL 2008 Shared Task "Joint learning of syntactic and semantic dependencies". Both algorithms start parsing the sentence using the same syntactic parser.The first algorithm uses machine learning methods to identify the semantic dependencies in four stages: ...	[ 62182406, 6534839 ]	Discriminative vs. Generative Approaches in Semantic Role Labeling ManchesterCopyright Manchester2008. August 2008 Deniz Yuret dyuret@ku.edu.tr Koç University Koç University Koç University Ali Mehmet Koç University Koç University Koç University Yatbaz myatbaz@ku.edu.tr Koç University Koç University Koç Universi...
2,481,675	GRAFIX: Automated Rule-Based Post Editing System to Improve English-Persian SMT Output	This paper describes the latest developments in the PeEn-SMT system, specifically covering experiments with Grafix, an APE component developed for PeEn-SMT.The success of well-designed SMT systems has made this approach one of the most popular MT approaches. However, MT output is often seriously grammatically incorrect...	[ 1272090 ]	GRAFIX: Automated Rule-Based Post Editing System to Improve English-Persian SMT Output December 2012 Mahsa Mohaghegh m.mohaghegh@massey.ac.nz School of Engineering and Advanced Technology Massey University AucklandNew Zealand ( Abdolhossein Sarrafzadeh hsarrafzadeh@unitec.ac.nz Department of Computing AucklandNew Z...
802,701	REES: A Large-Scale Relation and Event Extraction System	This paper reports on a large-scale, end-toend relation and event extraction system. At present, the system extracts a total of 100 types of relations and events, which represents a much wider coverage than is typical of extraction systems. The system consists of three specialized pattem-based tagging modules, a high-p...	[ 5803393, 10667460, 725590, 2922593 ]	REES: A Large-Scale Relation and Event Extraction System Chinatsu Aone aonec@verdi.sra.com SRA International, Inc 4300 Fair Lakes Court Fairfax22033VA Mila Ramos-Santacruz SRA International, Inc 4300 Fair Lakes Court Fairfax22033VA REES: A Large-Scale Relation and Event Extraction System This paper reports on a ...
226,262,310	On the weak link between importance and prunability of attention heads	Given the success of Transformer-based models, two directions of study have emerged: interpreting role of individual attention heads and down-sizing the models for efficiency. Our work straddles these two streams: We analyse the importance of basing pruning strategies on the interpreted role of the attention heads. We ...	[]	On the weak link between importance and prunability of attention heads Association for Computational LinguisticsCopyright Association for Computational LinguisticsNovember 16-20, 2020. 2020 Aakriti Budhraja Robert Bosch Centre for Data Science and Artificial Intelligence (RBC-DSAI) IIT Madras India Madhura Pande mpa...
3,426,165	Comparison of Grapheme-to-Phoneme Conversion Methods on a Myanmar Pronunciation Dictionary	Grapheme-to-Phoneme (G2P) conversion is the task of predicting the pronunciation of a word given its graphemic or written form. It is a highly important part of both automatic speech recognition (ASR) and text-to-speech (TTS) systems. In this paper, we evaluate seven G2P conversion approaches: Adaptive Regularization o...	[ 11689669, 8884845, 3219410, 5284722, 11985819 ]	Comparison of Grapheme-to-Phoneme Conversion Methods on a Myanmar Pronunciation Dictionary December 11-17 2016 Ye Kyaw Artificial Intelligence Lab Okayama Prefectural University Japan Language and Speech Science Research Lab Waseda University Japan Thu Win Pa winpapa@ucsy.edu.mm Natural Language Processing Lab Un...
253,628,203		Extracting relevant user behaviors through customer's transaction description is one of the ways to collect customer information. In the current text mining field, most of the researches are mainly study text classification, and only few study text clusters. Find the relationship between letters and words in the unstru...	[ 857321, 11394500, 4891749, 11239061 ]	Dept. of Data Science Dept. of Data Science Jheng-Long Wu Soochow University Dept. of Data Science Soochow University Soochow University 摘要透過客戶消費資料萃取相關之使用者行為，是蒐集客戶資訊的方式之一。現行文字探勘的領域中，大多以文本分類之相關研究為主，顯少有文本分群之研究主題。從非結構化之交易消費說明中，找尋字詞之間的關係，運用不同詞向量技術，突破分類需事先區分條件之限制，建立自動化辨識分析方法，提升分群之準確率。在本研究中將以銀行信用卡交易消費說明內容，進行 J...
2,913,402	Impact of Initiative on Collaborative Problem Solving *	Even though collaboration in peer learning has been shown to have a positive impact for students, there has been little research into collaborative peer learning dialogues. We analyze such dialogues in order to derive a model of knowledge co-construction that incorporates initiative and the balance of initiative. This ...	[ 1006472, 2659316, 8704366 ]	Impact of Initiative on Collaborative Problem Solving * Cynthia Kersey ckerse2@uic.edu Department of Computer Science University of Illinois at Chicago Chicago 60613Illinois Impact of Initiative on Collaborative Problem Solving * Even though collaboration in peer learning has been shown to have a positive impact f...
256,739,244	Hierarchical Multi-Task Transformers for Crosslingual Low Resource Phoneme Recognition	This paper proposes a method for multilingual phoneme recognition in unseen, low resource languages. We propose a novel hierarchical multi-task classifier built on a hybrid convolution-transformer acoustic architecture where articulatory attribute and phoneme classifiers are optimized jointly.The model was evaluated on...	[ 14289184, 21719838 ]	Hierarchical Multi-Task Transformers for Crosslingual Low Resource Phoneme Recognition Kevin Glocker kevin.glocker@thi.de Technische Hochschule Ingolstadt Research Institute AImotion Bavaria IngolstadtGermany Munir Georges munir.georges@thi.de Technische Hochschule Ingolstadt Research Institute AImotion Bavaria In...
233,189,537	What Sounds "Right" to Me? Experiential Factors in the Perception of Political Ideology	In this paper, we challenge the assumption that political ideology is inherently built into text by presenting an investigation into the impact of experiential factors on annotator perceptions of political ideology. We construct an annotated corpus of U.S. political discussion, where in addition to ideology labels for ...	[ 15175552, 814656, 14068874, 201703375, 12422512, 1994584 ]	What Sounds "Right" to Me? Experiential Factors in the Perception of Political Ideology 1771 April 19 -23, 2021 Qinlan Shen qinlans@cs.cmu.edu Carnegie Mellon University Carnegie Mellon University Carolyn P Rosé cprose@cs.cmu.edu Carnegie Mellon University Carnegie Mellon University What Sounds "Right" to Me? Ex...
225,062,658	Semi-supervised Domain Adaptation for Semantic Dependency Parsing	Recently, although deep learning has brought significant progress to semantic dependency parsing, the semantic annotation data is very expensive to label, and when a dependency parser with better performance in a single domain is migrated to other domains, its performance will decline largely. Therefore, in order to ma...	[ 17254305, 18828233, 53080778, 5578635, 219308588, 67855733, 9289495, 61274, 12013822 ]	Semi-supervised Domain Adaptation for Semantic Dependency Parsing Dazhan Mao maodazhan@foxmail.com Huayong Li lihuayong@blcu.edu.cnyqshao163@163.com Yanqiu Shao Information Science School Language Resources Monitoring and Research Center Beijing Language and Culture University 15 Xueyuan Road HaiDian District 1...
21,723,747	A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss	We propose a unified model combining the strength of extractive and abstractive summarization. On the one hand, a simple extractive model can obtain sentence-level attention with high ROUGE scores but less readable. On the other hand, a more complicated abstractive model can obtain word-level dynamic attention to gener...	[ 6532096, 1499080, 21850704, 8174613, 6857205, 1918428, 10480989 ]	A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss Wan-Ting Hsu National Tsing Hua University Chieh-Kai Lin National Tsing Hua University Ming-Ying Lee National Tsing Hua University Kerui Min Cheetah Mobile Jing Tang tangjing@cmcm.com Cheetah Mobile Min Sun sunmin@ee....
1,462,388	LeXFlow: a System for Cross-fertilization of Computational Lexicons	This demo presents LeXFlow, a workflow management system for crossfertilization of computational lexicons. Borrowing from techniques used in the domain of document workflows, we model the activity of lexicon management as a set of workflow types, where lexical entries move across agents in the process of being dynamica...	[]	LeXFlow: a System for Cross-fertilization of Computational Lexicons Association for Computational LinguisticsCopyright Association for Computational LinguisticsJuly 2006. 2006 Maurizio Tesconi maurizio.tesconi@iit.cnr.it CNR-IIT Via Moruzzi 156024PisaItaly Andrea Marchetti andrea.marchetti@iit.cnr.it CNR-IIT Via Mo...
28,841,202	Music, Language, and Computational Modeling: Lessons from the Key-Finding Problem	Recent research in computational music research, including my own, has been greatly influenced by methods in computational linguistics. But I believe the influence could also go the other way: Music may offer some interesting lessons for language research, particularly with regard to the modeling of cognition.	[]	Music, Language, and Computational Modeling: Lessons from the Key-Finding Problem David Temperley dtemperley@esm.rochester.edu Eastman School of Music University of Rochester 26 Gibbs St. Rochester14604NY Music, Language, and Computational Modeling: Lessons from the Key-Finding Problem Recent research in computati...
12,066,739	SPARSAR: An Expressive Poetry Reader	We present SPARSAR, a system for the automatic analysis of poetry(and text) style which makes use of NLP tools like tokenizers, sentence splitters, NER (Name Entity Recognition) tools, and taggers. In addition the system adds syntactic and semantic structural analysis and prosodic modeling. We do a dependency mapping t...	[ 1260035 ]	SPARSAR: An Expressive Poetry Reader April 26-30 Rodolfo Delmonte delmont@unive.it Department of Language Studies Department of Computer Science Ca' Foscari University -30123 VeneziaItaly Anton Maria Prati Department of Language Studies Department of Computer Science Ca' Foscari University -30123 VeneziaItaly SPAR...
11,742,913	Decision Trees for Sense Disambiguation of Prepositions: Case of Over	This paper proposes two decision trees for determining the meanings of the prepositional uses of over by using the contextual information. It first examines the meanings of the prepositional uses of over and then aims at identifying the contexts for interpreting the meanings. Some contexts are complementary features, a...	[ 3264475 ]	Decision Trees for Sense Disambiguation of Prepositions: Case of Over Yukiko Sasaki Alam sasaki@k.hosei.ac.jp Dept. of Digital Media Science Hosei University Tokyo Decision Trees for Sense Disambiguation of Prepositions: Case of Over This paper proposes two decision trees for determining the meanings of the prepos...
8,248,505	Arabic to English Person Name Transliteration using Twitter	Social media outlets are providing new opportunities for harvesting valuable resources. We present a novel approach for mining data from Twitter for the purpose of building transliteration resources and systems. Such resources are crucial in translation and retrieval tasks. We demonstrate the benefits of the approach o...	[ 2456677, 8424232, 10603986, 14047990, 1304185, 1540379, 10685951 ]	Arabic to English Person Name Transliteration using Twitter Hamdy Mubarak hmubarak@qf.org.qa Qatar Computing Research Institute Hamad Bin Khalifa University (HBKU) DohaQatar Ahmed Abdelali aabdelali@qf.org.qa Qatar Computing Research Institute Hamad Bin Khalifa University (HBKU) DohaQatar Arabic to English Person...
5,317,323	WORD EXPERT PARSING l	This paper describes an approach to conceptual analysis and understanding of natural language in which linguistic knowledge centers on individual words, and the analysis mechanisms consist of interactions among distributed procedural experts representing that knowledge.Each word expert models the process of diagnosing ...	[]	WORD EXPERT PARSING l Steven L Small Department of Computer Science University of Maryland College Park 20742Maryland WORD EXPERT PARSING l This paper describes an approach to conceptual analysis and understanding of natural language in which linguistic knowledge centers on individual words, and the analysis mecha...
21,821,146	Combining Segmenter and Chunker for Chinese Word Segmentation	Our proposed method is to use a Hidden Markov Model-based word segmenter and a Support Vector Machine-based chunker for Chinese word segmentation. Firstly, input sentences are analyzed by the Hidden Markov Model-based word segmenter. The word segmenter produces n-best word candidates together with some class informatio...	[ 3446853, 725590 ]	Combining Segmenter and Chunker for Chinese Word Segmentation Masayuki Asahara masayu-a@is.aist-nara.ac.jp Graduate School of Information Science Nara Institute of Science and Technology Japan Ling Chooi ling-g@is.aist-nara.ac.jp Graduate School of Information Science Nara Institute of Science and Technology Japan...
213,878,997			[]	Where are we in Named Entity Recognition from Speech? May 2020 Antoine Caubrière antoine.caubriere@univ-lemans.fr LIUM -Le Mans University France Sophie Rosset sophie.rosset@limsi.fr LIMSI -University of Paris-Saclay CNRS France Yannick Estève yannick.esteve@univ-avignon.fr LIA -Avignon University France Antoine...
53,083,290	Recovering Missing Characters in Old Hawaiian Writing	In contrast to the older writing system of the 19th century, modern Hawaiian orthography employs characters for long vowels and glottal stops. These extra characters account for about one-third of the phonemes in Hawaiian, so including them makes a big difference to reading comprehension and pronunciation. However, tra...	[ 7439240, 8355580, 7045397 ]	Recovering Missing Characters in Old Hawaiian Writing October 31 -November 4. 2018 Brendan Shillingford brendan.shillingford@cs.ox.ac.uk University of Oxford 1 DeepMind Oiwi Parker Jones oiwi.parkerjones@wolfson.ox.ac.uk University of Oxford 1 DeepMind Recovering Missing Characters in Old Hawaiian Writing Proceed...
13,861,243	Principled Hidden Tagset Design for Tiered Tagging of Hungarian	For highly inflectional languages, the number of morpho-syntactic descriptions (MSD), required to descriptionally cover the content of a word-form lexicon, tends to rise quite rapidly, approaching a thousand or even more set of distinct codes. For the purpose of automatic disambiguation of arbitrary written texts, usin...	[]	Principled Hidden Tagset Design for Tiered Tagging of Hungarian Dan Tufiş tufis@valhalla.racai.ro y Research Institute for Linguistics Hungarian Academy of Sciences Romanian Academy (RACAI) 13, '13 septembrie'74311Bucharest 5, BudapestRomania Péter Dienes dienes@nytud.hu y Research Institute for Linguistics Hungar...
14,569,368	Bridging the Inflection Morphology Gap for Arabic Statistical Machine Translation	Statistical machine translation (SMT) is based on the ability to effectively learn word and phrase relationships from parallel corpora, a process which is considerably more difficult when the extent of morphological expression differs significantly across the source and target languages. We present techniques that sele...	[ 7124227, 10779203, 29938854, 7375882, 10170829, 15424398, 1559412 ]	Bridging the Inflection Morphology Gap for Arabic Statistical Machine Translation Association for Computational LinguisticsCopyright Association for Computational LinguisticsJune 2006. 2006 Andreas Zollmann zollmann@cs.cmu.edu School of Computer Science Carnegie Mellon University Ashish Venugopal ashishv@cs.cmu.edu...
7,371,587	Swedish Language Processing in the Spoken Language Translator	T h e p a p e r d e s crib e s th e S w ed ish la n g u a g e c o m p o n e n t s u sed in th e S p o ken L a n g u a g e T r a n s la to r (S L T ) s y s te m . S L T is a m u lt i-c o m p o n e n t sy s te m fo r tr a n s la tio n o f s p o k e n E n g lish in t o s p o k e n S w ed ish . T h e la n g u a g e p ro ce...	[]	Swedish Language Processing in the Spoken Language Translator Bjorn Gamback Institute of Computer Science Natural Language Processing Group Swedish Box 1263S -164 28 KISTAStockholmSweden Swedish Language Processing in the Spoken Language Translator 37 T h e p a p e r d e s crib e s th e S w ed ish la n g u a g e c ...
21,708,183	KTH Tangrams: A Dataset for Research on Alignment and Conceptual Pacts in Task-Oriented Dialogue	There is a growing body of research focused on task-oriented instructor-manipulator dialogue, whereby one dialogue participant initiates a reference to an entity in a common environment while the other participant must resolve this reference in order to manipulate said entity. Many of these works are based on disparate...	[ 28722153 ]	KTH Tangrams: A Dataset for Research on Alignment and Conceptual Pacts in Task-Oriented Dialogue Todd Shore tcshore@kth.se KTH Speech, Music and Hearing Stockholm Sweden Theofronia Androulakaki KTH Speech, Music and Hearing Stockholm Sweden Gabriel Skantze gabriel@speech.kth.se KTH Speech, Music and Hearing Stoc...
2,067,306	Data-Driven Dependency Parsing of New Languages Using Incomplete and Noisy Training Data	We present a simple but very effective approach to identifying high-quality data in noisy data sets for structured problems like parsing, by greedily exploiting partial structures. We analyze our approach in an annotation projection framework for dependency trees, and show how dependency parsers from two different para...	[ 10661378, 5151364, 696805, 628455, 259144, 14829769, 2547341, 1916754, 5813778, 15279538, 9431510, 38407095, 1364249, 6681594, 5219389 ]	Data-Driven Dependency Parsing of New Languages Using Incomplete and Noisy Training Data Association for Computational LinguisticsCopyright Association for Computational LinguisticsJune 2009. 2009 Kathrin Spreyer spreyer@ling.uni-potsdam.de Department of Linguistics University of Potsdam Germany Jonas Kuhn kuhn@ling...
16,700,314	MLSA -A Multi-layered Reference Corpus for German Sentiment Analysis	In this paper, we describe MLSA, a publicly available multi-layered reference corpus for German-language sentiment analysis. The construction of the corpus is based on the manual annotation of 270 German-language sentences considering three different layers of granularity. The sentence-layer annotation, as the most coa...	[ 3264224, 1026757, 9405068, 7105713, 15307540 ]	MLSA -A Multi-layered Reference Corpus for German Sentiment Analysis Simon Clematide Institute of Comp. Linguistics, * Department of New Media Technology Υ Department of Computer Science Natural Language Processing Group + Artificial Intelligence Group φ University of Zürich MODUL University Vienna University of Lei...
74,975	Effacement de dimensions de similarité textuelle pour l'exploration de collections de rapports d'incidents aéronautiques	Deletion of dimensions of textual similarity for the exploration of collections of accident reports in aviationIn this paper we study the relationship between external classification and textual similarity in collections of incident reports. Our goal is to complement the existing classification-based analysis strategie...	[ 232021662 ]	Effacement de dimensions de similarité textuelle pour l'exploration de collections de rapports d'incidents aéronautiques TALNCopyright TALN2012 Actes De La Conférence Conjointe Jep-Taln-Recital Effacement de dimensions de similarité textuelle pour l'exploration de collections de rapports d'incidents aéronautiques Gr...
6,309,434	The Extended DIRNDL Corpus as a Resource for Automatic Coreference and Bridging Resolution	DIRNDL is a spoken and written corpus based on German radio news, which features coreference and information-status annotation (including bridging anaphora and their antecedents), as well as prosodic information. We have recently extended DIRNDL with a finegrained two-dimensional information status labeling scheme. We ...	[ 8267681, 935332, 989721, 41479182, 17209169, 14747729, 7708374, 10977241, 11898554, 2291483, 2381180 ]	The Extended DIRNDL Corpus as a Resource for Automatic Coreference and Bridging Resolution Anders Björkelund anders.bjoerkelund@ims.uni-stuttgart.de Institute for Natural Language Processing (IMS) Pfaffenwaldring 5B University of Stuttgart 70569StuttgartGermany Kerstin Eckart kerstin.eckart@ims.uni-stuttgart.de In...
10,994,429	Syntactic SMT Using a Discriminative Text Generation Model	We study a novel architecture for syntactic SMT. In contrast to the dominant approach in the literature, the system does not rely on translation rules, but treat translation as an unconstrained target sentence generation task, using soft features to capture lexical and syntactic correspondences between the source and t...	[ 10752264, 6677774, 17555617, 1388578, 7580069, 1391785, 438829, 1557806, 934325, 9146682, 10107837, 8806211, 1613767, 7803592, 11981387, 384994, 15929202, 5902329, 252796, 10313983 ]	Syntactic SMT Using a Discriminative Text Generation Model Association for Computational LinguisticsCopyright Association for Computational LinguisticsOctober 25-29, 2014. 2014 Yue Zhang yuezhang@sutd.edu.sgsongkai.sk@alibaba-inc.com Kai Song Linfeng Song songlinfeng@ict.ac.cn Jingbo Zhu zhujingbo@mail.neu.edu.cnql...
15,691,181	Merging Verb Senses of Hindi WordNet using Word Embeddings	In this paper, we present an approach for merging fine-grained verb senses of Hindi WordNet. Senses are merged based on gloss similarity score. We explore the use of word embeddings for gloss similarity computation and compare with various WordNet based gloss similarity measures.Our results indicate that word embedding...	[ 777346, 6561801, 1359050, 886027, 340173, 18597583, 6481231, 2276401, 6254130, 14687186, 7803700, 15599540, 1499545, 5959482, 18193242 ]	Merging Verb Senses of Hindi WordNet using Word Embeddings NLPAICopyright NLPAIDecember 2014. 2014 D S Sharma Department of Computer Science and Engineering IIT Bombay 400076Powai, Mumbai R Sangal Department of Computer Science and Engineering IIT Bombay 400076Powai, Mumbai J D Pawar Department of Computer Scienc...
233,365,244			[]	Abusive Language Recognition in Russian April 20, 2021 Kamil Saitov saitov66@gmail.com Innopolis University Russian Federation IT University of Copenhagen Denmark Leon Derczynski Innopolis University Russian Federation IT University of Copenhagen Denmark Abusive Language Recognition in Russian Proceedings of the ...
195,065,610	Cross Linguistic Variations in Discourse Relations among Indian Languages	This paper summarizes our work on analysis of cross linguistic variations in discourse relations for Indo-Aryan language Hindi and Dravid ian languages Malayalam and Tamil. In this paper we have also presented an automat ic discourse relation identifier, wh ich gave encouraging results. Analysis of the results showed t...	[ 14382150, 12887687, 13374927, 17471572, 14114841, 210363 ]	Cross Linguistic Variations in Discourse Relations among Indian Languages NLPAICopyright NLPAIDecember 2017. 2016 S Bandyopadhyay D Sharma R Sangal AU-KBC Research Centre AU-KBC Research Centre MIT Campus of Anna University ChennaiIndia AU-KBC Research Centre MIT Campus of Anna University ChennaiIndia MIT Camp...
16,207,472	Quality Estimation for Synthetic Parallel Data Generation	This paper presents a novel approach for parallel data generation using machine translation and quality estimation. Our study focuses on pivot-based machine translation from English to Croatian through Slovene. We generate an English-Croatian version of the Europarl parallel corpus based on the English-Slovene Europarl...	[ 773282, 6284099, 5178123, 13282731, 15119437, 38407095, 3708537, 2765530, 6470935 ]	Quality Estimation for Synthetic Parallel Data Generation Raphael Rubino Antonio Toral atoral@computing.dcu.ie CNGL -School of Computing Dublin City University Ireland Nikola Ljubešić nljubesi@ffzg.hr Department of Information and Communication Sciences University of Zagreb Croatia Gema Ramírez-Sánchez Prompsi...
8,201,148	An Entity-centric Approach for Overcoming Knowledge Graph Sparsity	Automatic construction of knowledge graphs (KGs) from unstructured text has received considerable attention in recent research, resulting in the construction of several KGs with millions of entities (nodes) and facts (edges) among them. Unfortunately, such KGs tend to be severely sparse in terms of number of facts know...	[ 1455080, 74065, 14068874, 10318045 ]	An Entity-centric Approach for Overcoming Knowledge Graph Sparsity Association for Computational LinguisticsCopyright Association for Computational LinguisticsSeptember 2015. 2015 Manjunath Hegde manjunath@ssl.serc.iisc.in Indian Institute of Science Indian Institute of Science Partha Talukdar Indian Institute of ...
14,701,636	GLR PARSER WITH CONDITIONAL ACTION MODEL USING SURFACE PHRASAL TYPES FOR KOREAN	In this paper, we propose a new probabilistic GLR parsing method that can solve the problems of conventional methods. Our proposed Conditional Action Model uses Surface Phrasal Types (SPTs) encoding the functional word sequences of the sub-trees for describing structural characteristics of the partial parse. And, the p...	[ 2220955, 6112493 ]	GLR PARSER WITH CONDITIONAL ACTION MODEL USING SURFACE PHRASAL TYPES FOR KOREAN Yong-Jae Kwak yjkwak@nlp.korea.ac.kr NLP Lab Dept. of CSE Korea University SeoulKorea So-Young Park NLP Lab Dept. of CSE Korea University SeoulKorea Hae-Chang Rim rim@nlp.korea.ac.kr NLP Lab Dept. of CSE Korea University SeoulKorea ...
5,313,088	LUKE: AN EXPERIMENT IN THE EARLY INTEGRATION OF NATURAL LANGUAGE PROCESSING	Luke is a knowledge editor designed to support two tasks; the first is editing the classes and relations in a knowledge base. The second is editing and maintaining the semantic mapping knowledge neccesery to allow a natural language interface to understand sentences with respect to that knowledge base. In order to emph...	[ 7697328 ]	LUKE: AN EXPERIMENT IN THE EARLY INTEGRATION OF NATURAL LANGUAGE PROCESSING David A Wroblewski MCC Human Interface Laboratory 3500 West Balcones Center Drive Austin78759Texas Elaine A Rich MCC Human Interface Laboratory 3500 West Balcones Center Drive Austin78759Texas LUKE: AN EXPERIMENT IN THE EARLY INTEGRATION ...
227,231,238	Cross-lingual annotation: a road map for low-and no-resource languages	This paper presents a "road map" for the annotation of semantic categories in typologically diverse languages, with potentially few linguistic resources, and often no existing computational resources. Past semantic annotation efforts have focused largely on high-resource languages, or relatively low-resource languages ...	[ 2486369, 32260611, 7771402, 961966, 10914266 ]	Cross-lingual annotation: a road map for low-and no-resource languages December 13, 2020 Meagan Vigus mvigus@unm.edu Department of Linguistics University of New Mexico Jens E L Van Gysel jelvangysel@unm.edu Department of Linguistics University of New Mexico Tim O'gorman togorman@cs.umass.edu College of Infor...
220,446,097			[]	Interface Web pour l'annotation morpho-syntaxique de textes Thierry Hamon hamon@limsi.fr CNRS Université Paris-Saclay Campus Universitaire91405Bat 508, rue John von Neumann, OrsayFrance ( Université Paris 13 -Sorbonne Paris Cité, 99 avenue J.B. Clément93430VilletaneuseFrance Interface Web pour l'annotation morpho-...
258,486,868		The identification of Verbal Multiword Expressions (VMWEs) presents a greater challenge compared to non-verbal MWEs due to their higher surface variability. VMWEs are linguistic units that exhibit varying levels of semantic opaqueness and pose difficulties for computational models in terms of both their identification ...	[ 6622179, 220048355, 207556454, 203279, 14182801, 216923442, 56595638, 67864863 ]	May 6, 2023 Proceedings of the 19th Workshop on Multiword Expressions (MWE 2023) the 19th Workshop on Multiword Expressions (MWE 2023)May 6, 2023 The identification of Verbal Multiword Expressions (VMWEs) presents a greater challenge compared to non-verbal MWEs due to their higher surface variability. VMWEs are lingui...
6,530,117	Ukwabelana -An open-source morphological Zulu corpus		[ 13149107 ]	Ukwabelana -An open-source morphological Zulu corpus Coling 2010. August 2010 Sebastian Spiegler spiegler@cs.bris.ac.uk Linguistics Department Intelligent Systems Group Intelligent Systems Group University of Bristol University of the Witwatersrand University of Bristol Andrew Van Der Spuy andrew.vanderspuy@wits.ac...