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English Tasks: All-Words and Verb Lexical Sample
Martha Palmer
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Christiane Fellbaum
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Scott Cotton
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Lauren Delfs
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Hoa Trang Dang
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Paper Details:
Month: July
Year: 2001
Location: Toulouse, France
Venue:
*SEMEVAL |
SIG: SIGLEX
Citations
URL
Semantic overfitting: what ‘world’ do we consider when evaluating disambiguation of text?
Filip Ilievski
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Marten Postma
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Piek Vossen
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A Deep Dive into Word Sense Disambiguation with LSTM
Minh Le
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Marten Postma
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Jacopo Urbani
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Piek Vossen
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What Substitutes Tell Us - Analysis of an “All-Words” Lexical Substitution Corpus
Gerhard Kremer
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Katrin Erk
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Sebastian Padó
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Stefan Thater
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Addressing the MFS Bias in WSD systems
Marten Postma
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Ruben Izquierdo
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Eneko Agirre
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German Rigau
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Piek Vossen
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Automatic disambiguation of English puns
Tristan Miller
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Iryna Gurevych
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An Iterative ‘Sudoku Style’ Approach to Subgraph-based Word Sense Disambiguation
Steve L. Manion
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Raazesh Sainudiin
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A Hybrid Distributional and Knowledge-based Model of Lexical Semantics
Nikolaos Aletras
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Mark Stevenson
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SemEval-2015 Task 13: Multilingual All-Words Sense Disambiguation and Entity Linking
Andrea Moro
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Roberto Navigli
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VUA-background : When to Use Background Information to Perform Word Sense Disambiguation
Marten Postma
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Ruben Izquierdo
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Piek Vossen
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WN-Toolkit: Automatic generation of WordNets following the expand model
Antoni Oliver
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Experiments on Active Learning for Croatian Word Sense Disambiguation
Domagoj Alagić
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Jan Šnajder
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Small in Size, Big in Precision: A Case for Using Language-Specific Lexical Resources for Word Sense Disambiguation
Steven Neale
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João Silva
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António Branco
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A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation
Hong Jin Kang
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Tao Chen
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Muthu Kumar Chandrasekaran
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Min-Yen Kan
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Distributional Lesk: Effective Knowledge-Based Word Sense Disambiguation
Dieke Oele
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Gertjan van Noord
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No URLs Found
Field Of Study
Linguistic Trends
Syntax
Task
Tagging
Language
English
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