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The Basque lexical-sample task
Eneko Agirre, Itziar Aldabe, Mikel Lersundi, David Martínez, Eli Pociello and Larraitz Uria |
pp. 1-4 |
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The Senseval-3 Multilingual EnglishHindi lexical sample task
Timothy Chklovski, Rada Mihalcea, Ted Pedersen and Amruta Purandare |
pp. 5-8 |
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Senseval-3 task: Automatic labeling of semantic roles
Ken Litkowski |
pp. 9-12 |
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Senseval-3 task: Word Sense Disambiguation of WordNet glosses
Ken Litkowski |
pp. 13-16 |
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The Italian lexical sample task at Senseval-3
Bernardo Magnini, Danilo Giampiccolo and Alessandro Vallin |
pp. 17-20 |
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Senseval-3: The Spanish lexical sample task
Lluis Màrquez, Mariona Taulé, Antonia Martí, Núria Artigas, Mar García, Francis Real and Dani Ferrés |
pp. 21-24 |
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The Senseval-3 English lexical sample task
Rada Mihalcea, Timothy Chklovski and Adam Kilgarriff |
pp. 25-28 |
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An evaluation exercise for Romanian Word Sense Disambiguation
Rada Mihalcea, Vivi Năstase, Timothy Chklovski, Doina Tătar, Dan Tufiş and Florentina Hristea |
pp. 29-32 |
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WSD for subcategorization acquisition task description
Judita Preiss and Anna Korhonen |
pp. 33-36 |
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A first evaluation of logic form identification systems
Vasile Rus |
pp. 37-40 |
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The English all-words task
Benjamin Snyder and Martha Palmer |
pp. 41-43 |
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Senseval-3: The Italian all-words task
Marisa Ulivieri, Elisabetta Guazzini, Francesca Bertagna and Nicoletta Calzolari |
pp. 44-43 |
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The Basque Country University system: English and Basque tasks
Eneko Agirre and David Martínez |
pp. 44-48 |
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The University of Amsterdam at Senseval-3: Semantic roles and Logic forms
David Ahn, Sisay Fissaha, Valentin Jijkoun and Maarten De Rijke |
pp. 49-53 |
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Dependency based logical form transformations
Stephen Anthony and Jon Patrick |
pp. 54-57 |
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Word Sense Disambiguation based on term to term similarity in a context space
Javier Artiles, Anselmo Penas and Felisa Verdejo |
pp. 58-63 |
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Semantic role labelling with similarity-based generalization using EM-based clustering
Ulrike Baldewein, Katrin Erk, Sebastian Padó and Detlef Prescher |
pp. 64-68 |
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The MITRE logical form generation system
Samuel Bayer, John Burger, John Greiff and Ben Wellner |
pp. 69-72 |
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Semantic parsing based on FrameNet
Cosmin Adrian Bejan, Alessandro Moschitti, Paul Morărescu, Gabriel Nicolae and Sanda Harabagiu |
pp. 73-76 |
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The upv-unige-CIAOSENSO WSD system
Davide Buscaldi, Paolo Rosso and Francesco Masulli |
pp. 77-82 |
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The University of Maryland Senseval-3 system descriptions
Clara Cabezas, Indrajit Bhattacharya and Philip Resnik |
pp. 83-87 |
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Augmenting ensemble classification for Word Sense Disambiguation with a kernel PCA model
Marine Carpuat, Weifeng Su and Dekai Wu |
pp. 88-92 |
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The TALP systems for disambiguating WordNet glosses
Mauro Castillo, Francis Real, Jordi Asterias and German Rigau |
pp. 93-96 |
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Multi-component Word Sense Disambiguation
Massimiliano Ciaramita and Mark Johnson |
pp. 97-100 |
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Contextual semantics for WSD
Eric Crestan |
pp. 101-104 |
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UBBNBC WSD system description
András Csomai |
pp. 105-107 |
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GAMBL, genetic algorithm optimization of memory-based WSD
Bart Decadt, Véronique Hoste, Walter Daelemans and Antal Van den Bosch |
pp. 108-112 |
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TALP system for the English lexical sample task
Gerard Escudero, Lluis Màrquez and German Rigau |
pp. 113-116 |
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WSD based on mutual information and syntactic patterns
David Férnandez-Amorós |
pp. 117-120 |
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The University of Jaén Word Sense Disambiguation system
Manuel García-Vega, Miguel García-Cumbreras, M. Teresa Martín-Valdivia and L. Alfonso Urena-López |
pp. 121-124 |
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Finding optimal parameter settings for high performance word sense disambiguation
Cristian Grozea |
pp. 125-128 |
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Senseval automatic labeling of semantic roles using Maximum Entropy models
Namhee Kwon, Michael Fleischman and Eduard Hovy |
pp. 129-132 |
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Simple features for statistical Word Sense Disambiguation
Abolfazl Lamjiri, Osama El Demerdash and Leila Kosseim |
pp. 133-136 |
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Supervised Word Sense Disambiguation with Support Vector Machines and multiple knowledge sources
Yoong Keok Lee, Hwee Tou Ng and Tee Kiah Chia |
pp. 137-140 |
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Explorations in disambiguation using XML text representation
Ken Litkowski |
pp. 141-146 |
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Senseval-3: The Catalan lexical sample task
Lluis Màrquez, Mariona Taulé, Antonia Martí, Mar García, Francis Real and Dani Ferrés |
pp. 147-150 |
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Using automatically acquired predominant senses for Word Sense Disambiguation
Diana McCarthy, Rob Koeling, Julie Weeds and John Carroll |
pp. 151-154 |
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SenseLearner: Minimally supervised Word Sense Disambiguation for all words in open text
Rada Mihalcea and Ehsanul Faruque |
pp. 155-158 |
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Complementarity of lexical and simple syntactic features: The SyntaLex approach to Senseval-3
Saif Mohammad and Ted Pedersen |
pp. 159-162 |
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Senseval-3 logic forms: A system and possible improvements
Altaf Mohammed, Dan Moldovan and Paul Parker |
pp. 163-166 |
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SVM classification of FrameNet semantic roles
Dan Moldovan, Roxana Gîrju, Marian Olteanu and Ovidiu Fortu |
pp. 167-170 |
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WSD system based on specialized Hidden Markov Model (upv-shmm-eaw)
Antonio Molina, Ferran Pla and Encarna Segarra |
pp. 171-174 |
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Using a Word Sense Disambiguation system for translation disambiguation: the LIA-LIDILEM team experiment
Grégoire Moreau de Montcheuil, Marc El-Bèze, Boxing Chen and Olivier Kraif |
pp. 175-178 |
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Structural semantic interconnection: a knowledge-based approach to Word Sense Disambiguation
Roberto Navigli and Paola Velardi |
pp. 179-182 |
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Semantic role labeling with Boosting, SVMs, Maximum Entropy, SNOW, and Decision Lists
Grace Ngai, Dekai Wu, Marine Carpuat, Chi-Shing Wang and Chi-Yung Wang |
pp. 183-186 |
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Context clustering for Word Sense Disambiguation based on modeling pairwise context similarities
Cheng Niu, Wei Li, Rohini K. Srihari, Huifeng Li and L. Crist |
pp. 187-190 |
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Optimizing feature set for Chinese Word Sense Disambiguation
Zheng-Yu Niu, Dong-Hong Ji and Chew-Lim Tan |
pp. 191-194 |
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LCC's WSD systems for Senseval-3
Adrian Novischi, Dan Moldovan, Paul Parker, Adriana Bădulescu and Bob Hauser |
pp. 195-198 |
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Class-based collocations for Word Sense Disambiguation
Tom O'Hara, Rebecca Bruce, Jeff Donner and Janyce Wiebe |
pp. 199-202 |
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The Duluth lexical sample systems in Senseval-3
Ted Pedersen |
pp. 203-208 |
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Regularized Least-Squares classification for Word Sense Disambiguation
Marius Popescu |
pp. 209-212 |
| pdf |
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Probabilistic WSD in Senseval-3
Judita Preiss |
pp. 213-216 |
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A gloss-centered algorithm for disambiguation
Ganesh Ramakrishnan, B. Prithviraj and Pushpak Bhattacharya |
pp. 217-221 |
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KUNLP system in Senseval-3
Hee-Cheol Seo, Hae-Chang Rim and Soo-Hong Kim |
pp. 222-225 |
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UBB system at Senseval-3
Gabriela Şerban and Doina Tătar |
pp. 226-228 |
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Pattern abstraction and term similarity for Word Sense Disambiguation: IRST at Senseval-3
Carlo Strapparava, Alfio Gliozzo and Claudiu Giuliano |
pp. 229-234 |
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Generative models for semantic role labeling
Cynthia Thompson, Siddharth Patwardhan and Carolin Arnold |
pp. 235-238 |
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Word Sense Disambiguation by Web mining for word co-occurrence probabilities
Peter Turney |
pp. 239-242 |
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The University of Alicante systems at Senseval-3
Sonia Vázquez, Rafael Romero, Armando Suárez, Andrés Montoyo, Iulia Nica and Antonia Martí |
pp. 243-247 |
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The R2D2 team at Senseval-3
Sonia Vázquez, Rafael Romero, Armando Suárez, Andrés Montoyo, Manuel García, M. Teresa Martín, M. Ángel García and L. Alfonso Urena |
pp. 248-252 |
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The "Meaning" system on the English all-words task
Luís Villarejo, Lluis Màrquez, Eneko Agirre, David Martínez, Bernardo Magnini, Carlo Strapparava, Diana McCarthy, Andrés Montoyo and Armando Suárez |
pp. 253-256 |
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The Swarthmore College Senseval-3 system
Richard Wicentowski, Emily Thomforde and Adrian Packel |
pp. 257-261 |
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Joining forces to resolve lexical ambiguity: East meets West in Barcelona
Richard Wicentowski, Grace Ngai, Dekai Wu, Marine Carpuat, Emily Thomforde and Adrian Packel |
pp. 262-264 |
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Some experiments with a Naive Bayes WSD system
Deniz Yuret |
pp. 265-268 |
Last modified on 7/1/2004
From a db file last modified on Thu Jul 1 03:13:13 CDT 2004