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COLING
2008

138views Computational Linguistics» more COLING 2008»

Word Sense Disambiguation for All Words using Tree-Structured Conditional Random Fields

13 years 7 months ago

We propose a supervised word sense disambiguation (WSD) method using tree-structured conditional random fields (TCRFs). By applying TCRFs to a sentence described as a dependency t...

Jun Hatori, Yusuke Miyao, Jun-ichi Tsujii

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25

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COLING
2010

200views Computational Linguistics» more COLING 2010»

Jointly Modeling WSD and SRL with Markov Logic

13 years 1 months ago

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Semantic role labeling (SRL) and word sense disambiguation (WSD) are two fundamental tasks in natural language processing to find a sentence-level semantic representation. To date...

Wanxiang Che, Ting Liu

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27

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COLING
1990

118views Computational Linguistics» more COLING 1990»

Word Sense Disambiguation with Very Large Neural Networks Extracted from Machine Readable Dictionaries

13 years 7 months ago

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In this paper, we describe a means for automatically building very large neural networks (VLNNs) from definition texts in machine-readable dictionaries, and demonstrate the use of...

Jean Véronis, Nancy Ide

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17

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COLING
2002

108views Computational Linguistics» more COLING 2002»

Unsupervised Word Sense Disambiguation Using Bilingual Comparable Corpora

13 years 6 months ago

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An unsupervised method for word sense disambiguation using a bilingual comparable corpus was developed. First, it extracts statistically significant pairs of related words from th...

Hiroyuki Kaji, Yasutsugu Morimoto

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14

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AAAI
1998

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Knowledge Lean Word-Sense Disambiguation

13 years 7 months ago

Download www.d.umn.edu

We present a corpus{based approach to word{sense disambiguation that only requires information that can be automatically extracted from untagged text. We use unsupervised techniqu...

Ted Pedersen, Rebecca F. Bruce

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