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SenseLearner: Word Sense Disambiguation for All Words in Unrestricted Text
Rada Mihalcea
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Andras Csomai
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Paper Details:
Month: June
Year: 2005
Location: Ann Arbor, Michigan
Venue:
ACL |
Citations
URL
A Supervised Algorithm for Verb Disambiguation into VerbNet Classes
Omri Abend
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Roi Reichart
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Ari Rappoport
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A Generalized Vector Space Model for Text Retrieval Based on Semantic Relatedness
George Tsatsaronis
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Vicky Panagiotopoulou
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A Latent Variable Model for Discourse-aware Concept and Entity Disambiguation
Angela Fahrni
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Michael Strube
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Supervised All-Words Lexical Substitution using Delexicalized Features
György Szarvas
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Chris Biemann
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Iryna Gurevych
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DKPro WSD: A Generalized UIMA-based Framework for Word Sense Disambiguation
Tristan Miller
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Nicolai Erbs
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Hans-Peter Zorn
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Torsten Zesch
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Iryna Gurevych
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UTD: Classifying Semantic Relations by Combining Lexical and Semantic Resources
Bryan Rink
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Sanda Harabagiu
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More or less supervised supersense tagging of Twitter
Anders Johannsen
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Dirk Hovy
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Héctor Martínez Alonso
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Barbara Plank
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Anders Søgaard
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A hybrid approach for extracting semantic relations from texts
Lucia Specia
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Enrico Motta
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BESTCUT: A Graph Algorithm for Coreference Resolution
Cristina Nicolae
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Gabriel Nicolae
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Sense-Specific Lexical Information for Reading Assistance
Soojeong Eom
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Markus Dickinson
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Rebecca Sachs
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http://lit.csci.unt.edu/senselearner
Field Of Study
Task
Tagging
Word Sense Disambiguation
Language
English
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