Table of Contents

• WSD for subcategorization acquisition task descriptionJudita Preiss, Anna Korhonen. [doi]
• UBB system at Senseval-3Gabriela Serban, Doina Tatar. [doi]
• The Basque Country University system: English and Basque tasksEneko Agirre, David Martínez 0001. [doi]
• Structural semantic interconnection: a knowledge-based approach to Word Sense DisambiguationRoberto Navigli, Paola Velardi. [doi]
• Context clustering for Word Sense Disambiguation based on modeling pairwise context similaritiesCheng Niu, Wei Li 0003, Rohini K. Srihari, Huifeng Li, L. Crist. [doi]
• Senseval-3: The Spanish lexical sample taskLluís Màrquez, Mariona Taulé, Maria Antònia Martí, Núria Artigas, Mar García, Francis Real, Dani Ferrés. [doi]
• The upv-unige-CIAOSENSO WSD systemDavide Buscaldi, Paolo Rosso, Francesco Masulli. [doi]
• Probabilistic WSD in Senseval-3Judita Preiss. [doi]
• The MITRE logical form generation systemSamuel Bayer, John D. Burger, Warren R. Greiff, Ben Wellner. [doi]
• Senseval-3 task: Word Sense Disambiguation of WordNet glossesKen Litkowski. [doi]
• Semantic role labeling with Boosting, SVMs, Maximum Entropy, SNOW, and Decision ListsGrace Ngai, Dekai Wu, Marine Carpuat, Chi-Shing Wang, Chi-Yung Wang. [doi]
• The University of Maryland Senseval-3 system descriptionsClara I. Cabezas, Indrajit Bhattacharya, Philip Resnik. [doi]
• Pattern abstraction and term similarity for Word Sense Disambiguation: IRST at Senseval-3Carlo Strapparava, Alfio Gliozzo, Claudiu Giuliano. [doi]
• Contextual semantics for WSDEric Crestan. [doi]
• The Italian lexical sample task at Senseval-3Bernardo Magnini, Danilo Giampiccolo, Alessandro Vallin. [doi]
• Using automatically acquired predominant senses for Word Sense DisambiguationDiana McCarthy, Rob Koeling, Julie Weeds, John A. Carroll. [doi]
• The R2D2 team at Senseval-3Sonia Vázquez, Rafael Romero, Armando Suárez, Andrés Montoyo, Manuel García Vega, Maria Teresa Martín-Valdivia, M. Ángel García, Luis Alfonso Ureña López. [doi]
• Simple features for statistical Word Sense DisambiguationAbolfazl Keighobadi Lamjiri, Osama El Demerdash, Leila Kosseim. [doi]
• The Basque lexical-sample taskEneko Agirre, Itziar Aldabe, Mikel Lersundi, David Martínez 0001, Eli Pociello, Larraitz Uria. [doi]
• Word Sense Disambiguation based on term to term similarity in a context spaceJavier Artiles, Anselmo Peñas, Felisa Verdejo. [doi]
• A gloss-centered algorithm for disambiguationGanesh Ramakrishnan, B. Prithviraj, Pushpak Bhattacharya. [doi]
• The University of Amsterdam at Senseval-3: Semantic roles and Logic formsDavid Ahn, Sisay Fissaha, Valentin Jijkoun, Maarten de Rijke. [doi]
• The "Meaning" system on the English all-words taskLuis Villarejo, Lluís Màrquez, Eneko Agirre, David Martínez 0001, Bernardo Magnini, Carlo Strapparava, Diana McCarthy, Andrés Montoyo, Armando Suárez. [doi]
• Senseval-3: The Italian all-words taskMarisa Ulivieri, Elisabetta Guazzini, Francesca Bertagna, Nicoletta Calzolari. [doi]
• Senseval automatic labeling of semantic roles using Maximum Entropy modelsNamhee Kwon, Michael Fleischman, Eduard H. Hovy. [doi]
• Regularized Least-Squares classification for Word Sense DisambiguationMarius Popescu. [doi]
• Augmenting ensemble classification for Word Sense Disambiguation with a kernel PCA modelMarine Carpuat, Weifeng Su, Dekai Wu. [doi]
• Word Sense Disambiguation by Web mining for word co-occurrence probabilitiesPeter D. Turney. [doi]
• The University of Jaén Word Sense Disambiguation systemManuel García Vega, Miguel Ángel García Cumbreras, Maria Teresa Martín-Valdivia, Luis Alfonso Ureña López. [doi]
• Class-based collocations for Word Sense DisambiguationTom O'Hara, Rebecca F. Bruce, Jeff Donner, Janyce Wiebe. [doi]
• The Senseval-3 Multilingual English-­Hindi lexical sample taskTimothy Chklovski, Rada Mihalcea, Ted Pedersen, Amruta Purandare. [doi]
• LCC's WSD systems for Senseval-3Adrian Novischi, Dan I. Moldovan, Paul Parker, Adriana Badulescu, Bob Hauser. [doi]
• WSD based on mutual information and syntactic patternsDavid Fernández-Amorós. [doi]
• TALP system for the English lexical sample taskGerard Escudero, Lluís Màrquez, German Rigau. [doi]
• The Senseval-3 English lexical sample taskRada Mihalcea, Timothy Chklovski, Adam Kilgarriff. [doi]
• SVM classification of FrameNet semantic rolesDan I. Moldovan, Roxana Girju, Marian Olteanu, Ovidiu Fortu. [doi]
• Generative models for semantic role labelingCynthia Thompson, Siddharth Patwardhan, Carolin Arnold. [doi]
• Senseval-3: The Catalan lexical sample taskLluís Màrquez, Mariona Taulé, Maria Antònia Martí, Mar García, Francis Real, Dani Ferrés. [doi]
• UBBNBC WSD system descriptionAndras Csomai. [doi]
• Semantic role labelling with similarity-based generalization using EM-based clusteringUlrike Baldewein, Katrin Erk, Sebastian Padó, Detlef Prescher. [doi]
• A first evaluation of logic form identification systemsVasile Rus. [doi]
• WSD system based on specialized Hidden Markov Model (upv-shmm-eaw)Antonio Molina, Ferran Pla, Encarna Segarra. [doi]
• SenseLearner: Minimally supervised Word Sense Disambiguation for all words in open textRada Mihalcea, Ehsanul Faruque. [doi]
• Optimizing feature set for Chinese Word Sense DisambiguationZheng-Yu Niu, Dong-Hong Ji, Chew Lim Tan. [doi]
• Finding optimal parameter settings for high performance word sense disambiguationCristian Grozea. [doi]
• Joining forces to resolve lexical ambiguity: East meets West in BarcelonaRichard Wicentowski, Grace Ngai, Dekai Wu, Marine Carpuat, Emily Thomforde, Adrian Packel. [doi]
• Senseval-3 logic forms: A system and possible improvementsAltaf Mohammed, Dan I. Moldovan, Paul Parker. [doi]
• Supervised Word Sense Disambiguation with Support Vector Machines and multiple knowledge sourcesYoong Keok Lee, Hwee Tou Ng, Tee Kiah Chia. [doi]
• The TALP systems for disambiguating WordNet glossesMauro Castillo, Francis Real, Jordi Asterias, German Rigau. [doi]
• Multi-component Word Sense DisambiguationMassimiliano Ciaramita, Mark Johnson. [doi]
• Semantic parsing based on FrameNetCosmin Adrian Bejan, Alessandro Moschitti, Paul Morarescu, Gabriel Nicolae, Sanda M. Harabagiu. [doi]
• Complementarity of lexical and simple syntactic features: The SyntaLex approach to Senseval-3Saif Mohammad, Ted Pedersen. [doi]
• GAMBL, genetic algorithm optimization of memory-based WSDBart Decadt, Véronique Hoste, Walter Daelemans, Antal van den Bosch. [doi]
• The University of Alicante systems at Senseval-3Sonia Vázquez, Rafael Romero, Armando Suárez, Andrés Montoyo, Iulia Nica, Maria Antònia Martí. [doi]
• Dependency based logical form transformationsStephen Anthony, Jon Patrick. [doi]
• Explorations in disambiguation using XML text representationKen Litkowski. [doi]
• Some experiments with a Naive Bayes WSD systemDeniz Yuret. [doi]
• The Swarthmore College Senseval-3 systemRichard Wicentowski, Emily Thomforde, Adrian Packel. [doi]
• An evaluation exercise for Romanian Word Sense DisambiguationRada Mihalcea, Vivi Nastase, Timothy Chklovski, Doina Tatar, Dan Tufis, Florentina Hristea. [doi]
• KUNLP system in Senseval-3Hee-Cheol Seo, Hae-Chang Rim, Soo Hong Kim. [doi]
• The English all-words taskBenjamin Snyder, Martha Palmer. [doi]
• Using a Word Sense Disambiguation system for translation disambiguation: the LIA-LIDILEM team experimentGrégoire Moreau de Montcheuil, Marc El-Bèze, Boxing Chen, Olivier Kraif. [doi]
• The Duluth lexical sample systems in Senseval-3Ted Pedersen. [doi]
• Senseval-3 task: Automatic labeling of semantic rolesKen Litkowski. [doi]