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Tree-Cut and a Lexicon Based on Systematic Polysemy
Noriko Tomuro
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Paper Details:
Year: 2001
Venue:
NAACL |
Citations
URL
Learning to Merge Word Senses
Rion Snow
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Sushant Prakash
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Daniel Jurafsky
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Andrew Y. Ng
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Meaningful Clustering of Senses Helps Boost Word Sense Disambiguation Performance
Roberto Navigli
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Regular polysemy: A distributional model
Gemma Boleda
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Sebastian Padó
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Jason Utt
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A Methodology for Word Sense Disambiguation at 90% based on large-scale CrowdSourcing
Oier Lopez de Lacalle
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Eneko Agirre
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Relating WordNet Senses for Word Sense Disambiguation
Diana McCarthy
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Supersense tagging with inter-annotator disagreement
Héctor Martínez Alonso
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Anders Johannsen
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Barbara Plank
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No URLs Found
Field Of Study
Linguistic Trends
Discourse
Lexical Semantics
Task
Word Sense Disambiguation
Information Retrieval
Machine Translation
Approach
Unsupervised Learning
Language
English
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