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Front matter |
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SemEval-2010 Task 1: Coreference Resolution in Multiple Languages
Marta Recasens, Lluís Màrquez, Emili Sapena, M. Antònia Martí, Mariona Taulé, Véronique Hoste, Massimo Poesio and Yannick Versley |
pp. 1–8 |
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SemEval-2010 Task 2: Cross-Lingual Lexical Substitution
Rada Mihalcea, Ravi Sinha and Diana McCarthy |
pp. 9–14 |
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SemEval-2010 Task 3: Cross-Lingual Word Sense Disambiguation
Els Lefever and Véronique Hoste |
pp. 15–20 |
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SemEval-2010 Task 5 : Automatic Keyphrase Extraction from Scientific Articles
Su Nam Kim, Olena Medelyan, Min-Yen Kan and Timothy Baldwin |
pp. 21–26 |
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SemEval-2010 Task 7: Argument Selection and Coercion
James Pustejovsky, Anna Rumshisky, Alex Plotnick, Elisabetta Jezek, Olga Batiukova and Valeria Quochi |
pp. 27–32 |
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SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations between Pairs of Nominals
Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, Preslav Nakov, Diarmuid Ó Séaghdha, Sebastian Padó, Marco Pennacchiotti, Lorenza Romano and Stan Szpakowicz |
pp. 33–38 |
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SemEval-2 Task 9: The Interpretation of Noun Compounds Using Paraphrasing Verbs and Prepositions
Cristina Butnariu, Su Nam Kim, Preslav Nakov, Diarmuid Ó Séaghdha, Stan Szpakowicz and Tony Veale |
pp. 39–44 |
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SemEval-2010 Task 10: Linking Events and Their Participants in Discourse
Josef Ruppenhofer, Caroline Sporleder, Roser Morante, Collin Baker and Martha Palmer |
pp. 45–50 |
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SemEval-2010 Task 12: Parser Evaluation Using Textual Entailments
Deniz Yuret, Aydin Han and Zehra Turgut |
pp. 51–56 |
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SemEval-2010 Task 13: TempEval-2
Marc Verhagen, Roser Sauri, Tommaso Caselli and James Pustejovsky |
pp. 57–62 |
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SemEval-2010 Task 14: Word Sense Induction & Disambiguation
Suresh Manandhar, Ioannis Klapaftis, Dmitriy Dligach and Sameer Pradhan |
pp. 63–68 |
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SemEval-2010 Task: Japanese WSD
Manabu Okumura, Kiyoaki Shirai, Kanako Komiya and Hikaru Yokono |
pp. 69–74 |
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SemEval-2010 Task 17: All-Words Word Sense Disambiguation on a Specific Domain
Eneko Agirre, Oier López de Lacalle, Christiane Fellbaum, Shu-Kai Hsieh, Maurizio Tesconi, Monica Monachini, Piek Vossen and Roxanne Segers |
pp. 75–80 |
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SemEval-2010 Task 18: Disambiguating Sentiment Ambiguous Adjectives
Yunfang Wu and Peng Jin |
pp. 81–85 |
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SemEval-2010 Task 11: Event Detection in Chinese News Sentences
Qiang Zhou |
pp. 86–86 |
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SemEval-2 Task 15: Infrequent Sense Identification for Mandarin Text to Speech Systems
Peng Jin and Yunfang Wu |
pp. 87–87 |
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RelaxCor: A Global Relaxation Labeling Approach to Coreference Resolution
Emili Sapena, Lluís Padró and Jordi Turmo |
pp. 88–91 |
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SUCRE: A Modular System for Coreference Resolution
Hamidreza Kobdani and Hinrich Schütze |
pp. 92–95 |
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UBIU: A Language-Independent System for Coreference Resolution
Desislava Zhekova and Sandra Kübler |
pp. 96–99 |
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Corry: A System for Coreference Resolution
Olga Uryupina |
pp. 100–103 |
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BART: A Multilingual Anaphora Resolution System
Samuel Broscheit, Massimo Poesio, Simone Paolo Ponzetto, Kepa Joseba Rodriguez, Lorenza Romano, Olga Uryupina, Yannick Versley and Roberto Zanoli |
pp. 104–107 |
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TANL-1: Coreference Resolution by Parse Analysis and Similarity Clustering
Giuseppe Attardi, Maria Simi and Stefano Dei Rossi |
pp. 108–111 |
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FCC: Modeling Probabilities with GIZA++ for Task 2 and 3 of SemEval-2
Darnes Vilariño Ayala, Carlos Balderas Posada, David Eduardo Pinto Avendaño, Miguel Rodríguez Hernández and Saul León Silverio |
pp. 112–116 |
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Combining Dictionaries and Contextual Information for Cross-Lingual Lexical Substitution
Wilker Aziz and Lucia Specia |
pp. 117–122 |
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SWAT: Cross-Lingual Lexical Substitution using Local Context Matching, Bilingual Dictionaries and Machine Translation
Richard Wicentowski, Maria Kelly and Rachel Lee |
pp. 123–128 |
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COLEPL and COLSLM: An Unsupervised WSD Approach to Multilingual Lexical Substitution, Tasks 2 and 3 SemEval 2010
Weiwei Guo and Mona Diab |
pp. 129–133 |
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UHD: Cross-Lingual Word Sense Disambiguation Using Multilingual Co-Occurrence Graphs
Carina Silberer and Simone Paolo Ponzetto |
pp. 134–137 |
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OWNS: Cross-lingual Word Sense Disambiguation Using Weighted Overlap Counts and Wordnet Based Similarity Measures
Lipta Mahapatra, Meera Mohan, Mitesh Khapra and Pushpak Bhattacharyya |
pp. 138–141 |
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273. Task 5. Keyphrase Extraction Based on Core Word Identification and Word Expansion
You Ouyang, Wenjie Li and Renxian Zhang |
pp. 142–145 |
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DERIUNLP: A Context Based Approach to Automatic Keyphrase Extraction
Georgeta Bordea and Paul Buitelaar |
pp. 146–149 |
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DFKI KeyWE: Ranking Keyphrases Extracted from Scientific Articles
Kathrin Eichler and Günter Neumann |
pp. 150–153 |
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Single Document Keyphrase Extraction Using Sentence Clustering and Latent Dirichlet Allocation
Claude Pasquier |
pp. 154–157 |
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SJTULTLAB: Chunk Based Method for Keyphrase Extraction
Letian Wang and Fang Li |
pp. 158–161 |
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Likey: Unsupervised Language-Independent Keyphrase Extraction
Mari-Sanna Paukkeri and Timo Honkela |
pp. 162–165 |
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WINGNUS: Keyphrase Extraction Utilizing Document Logical Structure
Thuy Dung Nguyen and Minh-Thang Luong |
pp. 166–169 |
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KX: A Flexible System for Keyphrase eXtraction
Emanuele Pianta and Sara Tonelli |
pp. 170–173 |
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BUAP: An Unsupervised Approach to Automatic Keyphrase Extraction from Scientific Articles
Roberto Ortiz, David Pinto, Mireya Tovar and Héctor Jiménez-Salazar |
pp. 174–177 |
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UNPMC: Naive Approach to Extract Keyphrases from Scientific Articles
Jungyeul Park, Jong Gun Lee and Béatrice Daille |
pp. 178–181 |
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SEERLAB: A System for Extracting Keyphrases from Scholarly Documents
Pucktada Treeratpituk, Pradeep Teregowda, Jian Huang and C. Lee Giles |
pp. 182–185 |
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SZTERGAK : Feature Engineering for Keyphrase Extraction
Gábor Berend and Richárd Farkas |
pp. 186–189 |
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KP-Miner: Participation in SemEval-2
Samhaa R. El-Beltagy and Ahmed Rafea |
pp. 190–193 |
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UvT: The UvT Term Extraction System in the Keyphrase Extraction Task
Kalliopi Zervanou |
pp. 194–197 |
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UNITN: Part-Of-Speech Counting in Relation Extraction
Fabio Celli |
pp. 198–201 |
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FBK\_NK: A WordNet-Based System for Multi-Way Classification of Semantic Relations
Matteo Negri and Milen Kouylekov |
pp. 202–205 |
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JU: A Supervised Approach to Identify Semantic Relations from Paired Nominals
Santanu Pal, Partha Pakray, Dipankar Das and Sivaji Bandyopadhyay |
pp. 206–209 |
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TUD: Semantic Relatedness for Relation Classification
György Szarvas and Iryna Gurevych |
pp. 210–213 |
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FBK-IRST: Semantic Relation Extraction Using Cyc
Kateryna Tymoshenko and Claudio Giuliano |
pp. 214–217 |
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ISTI@SemEval-2 Task 8: Boosting-Based Multiway Relation Classification
Andrea Esuli, Diego Marcheggiani and Fabrizio Sebastiani |
pp. 218–221 |
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ISI: Automatic Classification of Relations Between Nominals Using a Maximum Entropy Classifier
Stephen Tratz and Eduard Hovy |
pp. 222–225 |
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ECNU: Effective Semantic Relations Classification without Complicated Features or Multiple External Corpora
Yuan Chen, Man Lan, Jian Su, Zhi Min Zhou and Yu Xu |
pp. 226–229 |
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UCD-Goggle: A Hybrid System for Noun Compound Paraphrasing
Guofu Li, Alejandra Lopez-Fernandez and Tony Veale |
pp. 230–233 |
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UCD-PN: Selecting General Paraphrases Using Conditional Probability
Paul Nulty and Fintan Costello |
pp. 234–237 |
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UvT-WSD1: A Cross-Lingual Word Sense Disambiguation System
Maarten van Gompel |
pp. 238–241 |
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UBA: Using Automatic Translation and Wikipedia for Cross-Lingual Lexical Substitution
Pierpaolo Basile and Giovanni Semeraro |
pp. 242–247 |
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HUMB: Automatic Key Term Extraction from Scientific Articles in GROBID
Patrice Lopez and Laurent Romary |
pp. 248–251 |
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UTDMet: Combining WordNet and Corpus Data for Argument Coercion Detection
Kirk Roberts and Sanda Harabagiu |
pp. 252–255 |
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UTD: Classifying Semantic Relations by Combining Lexical and Semantic Resources
Bryan Rink and Sanda Harabagiu |
pp. 256–259 |
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UvT: Memory-Based Pairwise Ranking of Paraphrasing Verbs
Sander Wubben |
pp. 260–263 |
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SEMAFOR: Frame Argument Resolution with Log-Linear Models
Desai Chen, Nathan Schneider, Dipanjan Das and Noah A. Smith |
pp. 264–267 |
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Cambridge: Parser Evaluation Using Textual Entailment by Grammatical Relation Comparison
Laura Rimell and Stephen Clark |
pp. 268–271 |
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MARS: A Specialized RTE System for Parser Evaluation
Rui Wang and Yi Zhang |
pp. 272–275 |
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TRIPS and TRIOS System for TempEval-2: Extracting Temporal Information from Text
Naushad UzZaman and James Allen |
pp. 276–283 |
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TIPSem (English and Spanish): Evaluating CRFs and Semantic Roles in TempEval-2
Hector Llorens, Estela Saquete and Borja Navarro |
pp. 284–291 |
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CityU-DAC: Disambiguating Sentiment-Ambiguous Adjectives within Context
Bin Lu and Benjamin K. Tsou |
pp. 292–295 |
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VENSES++: Adapting a deep semantic processing system to the identification of null instantiations
Sara Tonelli and Rodolfo Delmonte |
pp. 296–299 |
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CLR: Linking Events and Their Participants in Discourse Using a Comprehensive FrameNet Dictionary
Ken Litkowski |
pp. 300–303 |
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PKU\_HIT: An Event Detection System Based on Instances Expansion and Rich Syntactic Features
Shiqi Li, Pengyuan Liu, Tiejun Zhao, Qin Lu and Hanjing Li |
pp. 304–307 |
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372:Comparing the Benefit of Different Dependency Parsers for Textual Entailment Using Syntactic Constraints Only
Alexander Volokh and Günter Neumann |
pp. 308–312 |
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SCHWA: PETE Using CCG Dependencies with the C&C Parser
Dominick Ng, James W.D. Constable, Matthew Honnibal and James R. Curran |
pp. 313–316 |
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ID 392:TERSEO + T2T3 Transducer. A systems for Recognizing and Normalizing TIMEX3
Estela Saquete Boro |
pp. 317–320 |
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HeidelTime: High Quality Rule-Based Extraction and Normalization of Temporal Expressions
Jannik Strötgen and Michael Gertz |
pp. 321–324 |
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KUL: Recognition and Normalization of Temporal Expressions
Oleksandr Kolomiyets and Marie-Francine Moens |
pp. 325–328 |
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UC3M System: Determining the Extent, Type and Value of Time Expressions in TempEval-2
María Teresa Vicente-Díez, Julián Moreno-Schneider and Paloma Martínez |
pp. 329–332 |
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Edinburgh-LTG: TempEval-2 System Description
Claire Grover, Richard Tobin, Beatrice Alex and Kate Byrne |
pp. 333–336 |
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USFD2: Annotating Temporal Expresions and TLINKs for TempEval-2
Leon Derczynski and Robert Gaizauskas |
pp. 337–340 |
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NCSU: Modeling Temporal Relations with Markov Logic and Lexical Ontology
Eun Ha, Alok Baikadi, Carlyle Licata and James Lester |
pp. 341–344 |
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JU\_CSE\_TEMP: A First Step towards Evaluating Events, Time Expressions and Temporal Relations
Anup Kumar Kolya, Asif Ekbal and Sivaji Bandyopadhyay |
pp. 345–350 |
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KCDC: Word Sense Induction by Using Grammatical Dependencies and Sentence Phrase Structure
Roman Kern, Markus Muhr and Michael Granitzer |
pp. 351–354 |
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UoY: Graphs of Unambiguous Vertices for Word Sense Induction and Disambiguation
Ioannis Korkontzelos and Suresh Manandhar |
pp. 355–358 |
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HERMIT: Flexible Clustering for the SemEval-2 WSI Task
David Jurgens and Keith Stevens |
pp. 359–362 |
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Duluth-WSI: SenseClusters Applied to the Sense Induction Task of SemEval-2
Ted Pedersen |
pp. 363–366 |
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KSU KDD: Word Sense Induction by Clustering in Topic Space
Wesam Elshamy, Doina Caragea and William Hsu |
pp. 367–370 |
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PengYuan@PKU: Extracting Infrequent Sense Instance with the Same N-Gram Pattern for the SemEval-2010 Task 15
Peng-Yuan Liu, Shi-Wen Yu, Shui Liu and Tie-Jun Zhao |
pp. 371–374 |
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RALI: Automatic Weighting of Text Window Distances
Bernard Brosseau-Villeneuve, Noriko Kando and Jian-Yun Nie |
pp. 375–378 |
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JAIST: Clustering and Classification Based Approaches for Japanese WSD
Kiyoaki Shirai and Makoto Nakamura |
pp. 379–382 |
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MSS: Investigating the Effectiveness of Domain Combinations and Topic Features for Word Sense Disambiguation
Sanae Fujita, Kevin Duh, Akinori Fujino, Hirotoshi Taira and Hiroyuki Shindo |
pp. 383–386 |
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IIITH: Domain Specific Word Sense Disambiguation
Siva Reddy, Abhilash Inumella, Diana McCarthy and Mark Stevenson |
pp. 387–391 |
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UCF-WS: Domain Word Sense Disambiguation Using Web Selectors
Hansen A. Schwartz and Fernando Gomez |
pp. 392–395 |
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TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain
Andrew Tran, Chris Bowes, David Brown, Ping Chen, Max Choly and Wei Ding |
pp. 396–401 |
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GPLSI-IXA: Using Semantic Classes to Acquire Monosemous Training Examples from Domain Texts
Rubén Izquierdo, Armando Suárez and German Rigau |
pp. 402–406 |
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HIT-CIR: An Unsupervised WSD System Based on Domain Most Frequent Sense Estimation
Yuhang Guo, Wanxiang Che, Wei He, Ting Liu and Sheng Li |
pp. 407–410 |
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RACAI: Unsupervised WSD Experiments @ SemEval-2, Task 17
Radu Ion and Dan Stefanescu |
pp. 411–416 |
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Kyoto: An Integrated System for Specific Domain WSD
Aitor Soroa, Eneko Agirre, Oier López de Lacalle, Wauter Bosma, Piek Vossen, Monica Monachini, Jessie Lo and Shu-Kai Hsieh |
pp. 417–420 |
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CFILT: Resource Conscious Approaches for All-Words Domain Specific WSD
Anup Kulkarni, Mitesh Khapra, Saurabh Sohoney and Pushpak Bhattacharyya |
pp. 421–426 |
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UMCC-DLSI: Integrative Resource for Disambiguation Task
Yoan Gutiérrez Vázquez, Antonio Fernandez Orquín, Andrés Montoyo Guijarro and Sonia Vázquez Pérez |
pp. 427–432 |
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HR-WSD: System Description for All-Words Word Sense Disambiguation on a Specific Domain at SemEval-2010
Meng-Hsien Shih |
pp. 433–435 |
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Twitter Based System: Using Twitter for Disambiguating Sentiment Ambiguous Adjectives
Alexander Pak and Patrick Paroubek |
pp. 436–439 |
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YSC-DSAA: An Approach to Disambiguate Sentiment Ambiguous Adjectives Based on SAAOL
Shi-Cai Yang and Mei-Juan Liu |
pp. 440–443 |
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OpAL: Applying Opinion Mining Techniques for the Disambiguation of Sentiment Ambiguous Adjectives in SemEval-2 Task 18
Alexandra Balahur and Andrés Montoyo |
pp. 444–447 |
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HITSZ\_CITYU: Combine Collocation, Context Words and Neighboring Sentence Sentiment in Sentiment Adjectives Disambiguation
Ruifeng Xu, Jun Xu and Chunyu Kit |
pp. 448–451 |
Last modified on June 25, 2010, 5:02 a.m.