SENSEVAL-2 International Workshop on Evaluating Word Sense Disambiguation Systems 2001: all accepted papers
- ATR-SLT System for SENSEVAL-2 Japanese Translation Task ↗Tadashi Kumano, Hideki Kashioka, Hideki Tanaka
- Anaphora Resolution with Word Sense Disambiguation ↗Judita Preiss
- Automatic WSD: Does it Make Sense of Estonian? ↗Kadri Vider, Kaarel Kaljurand
- Classifier Optimization and Combination in the English All Words TaskVéronique Hoste, Anne Kool, Walter Daelemansour summary
- Combination of Contextual Features for Word Sense Disambiguation: LIU-WSD ↗Magnus Merkel, Mikael Andersson
- Combining Heterogeneous Classifiers for Word-Sense Disambiguation ↗H. Tolga Ilhan, Sepandar D. Kamvar, Dan Klein et al.
- Decision Lists for English and Basque ↗David Martinez, Eneko Agirre
- Disambiguating Noun and Verb Senses Using Automatically Acquired Selectional Preferences ↗Diana McCarthy, John Carroll, Judita Preiss
- Dutch Word Sense Disambiguation: Data and Preliminary Results ↗Iris Hendrickx, Antal van den Bosch
- English Lexical Sample Task DescriptionAdam Kilgarriffour summary
- English Tasks: All-Words and Verb Lexical Sample ↗Martha Palmer, Christiane Fellbaum, Scott Cotton et al.
- Framework and Results for the Spanish SENSEVAL ↗German Rigau, Mariona Taulé, Ana Fernandez et al.
- Improving WSD with Multi-Level View of Context Monitored by Similarity Measure ↗Eric Crestan, Marc El-Bèze, Claude de Loupy
- Japanese Word Sense Disambiguation using the Simple Bayes and Support Vector Machine Methods ↗Masaki Murata, Masao Utiyama, Kiyotaka Uchimoto et al.
- KUNLP system using Classification Information Model at SENSEVAL-2 ↗Hee-Cheol Seo, Sang-Zoo Lee, Hae-Chang Rim et al.
- Pattern Learning and Active Feature Selection for Word Sense Disambiguation ↗Rada F. Mihalcea, Dan I. Moldovan
- Primitive-Based Word Sense Disambiguation for SENSEVAL-2 ↗Beng Tat Lim, Zaharin Yusoff, Enya Kong Tang et al.
- Probabilistic Network Models for Word Sense Disambiguation ↗Gerald Chao, Michael G. Dyer
- SENSEVAL-2 Japanese Dictionary Task ↗Kiyoaki Shirai
- SENSEVAL-2 Japanese Translation Task ↗Sadao Kurohashi
- SENSEVAL-2 The Swedish Framework ↗Dimitrios Kokkinakis, Jerker Järborg, Yvonne Cederholm
- SENSEVAL-2: OverviewPhilip Edmonds, Scott Cottonour summary
- Semantic Tagging Using WordNet Examples ↗Sherwood Haynes
- Sense and Deduction: The Power of Peewees Applied to the SENSEVAL-2 Swedish Lexical Sample Task ↗Torbjörn Lager, Natalia Zinovjeva
- Sensiting Inflectionality: Estonian Task for SENSEVAL-2 ↗Neeme Kahusk, Heili Orav, Haldur Õim
- Supervised Sense Tagging using Support Vector Machines ↗Clara Cabezas, Philip Resnik, Jessica Stevens
- The Basque Task: Did Systems Perform in the Upperbound? ↗Eneko Agirre, Elena Garcia, Mikel Lersundi et al.
- The Italian Lexical Sample Task ↗Francesca Bertagna, Claudia Soria, Nicoletta Calzolari
- The Japanese Translation Task: Lexical and Structural Perspectives ↗Timothy Baldwin, Atsushi Okazaki, Takenobu Tokunaga et al.
- The John Hopkins SENSEVAL-2 System Descriptions ↗David Yarowsky, Silviu Cucerzan, Radu Florian et al.
- The SENSEVAL-2 Panel on Domains, Topics and Senses ↗Paul Buitelaar
- The Språkdata-ML System as Used for SENSEVAL-2 ↗Dimitrios Kokkinakis
- The UNED Systems at SENSEVAL-2 ↗David Fernández-Amorós, Julio Gonzalo, Felisa Verdejo
- The University of Alicante Word Sense Disambiguation System ↗Andrés Montoyo, Armando Suárez
- Using Domain Information for Word Sense Disambiguation ↗Bernardo Magnini, Carlo Strapparava, Giovanni Pezzulo et al.
- Using LazyBoosting for Word Sense Disambiguation ↗Gerard Escudero, Lluís Màrquez, German Rigau
- WASP-Bench: a Lexicographic Tool Supporting Word Sense Disambiguation ↗David Tugwell, Adam Kilgarriff
- Word Translation Based on Machine Learning Models Using Translation Memory and Corpora ↗Kiyotaka Uchimoto, Satoshi Sekine, Masaki Murata et al.
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