Word sense disambiguation of WordNet glosses

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.

Word sense disambiguation of WordNet glosses

Presenter: Chun-Ping Wu　Author: Dan Moldovan, Adrian Novischi

Computer Speech and Language, 2004

國立雲林科技大學National Yunlin University of Science and Technology

2011/02/10


N.Y.U.S.T.

I. M.Outline Motivation Objective WordNet Methodology Experiments Conclusion Comments

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N.Y.U.S.T.

I. M.Motivation

Manual disambiguation is known to be very laborious and time intensive.

It’s difficult to obtain a semantically tagged corpus and the features appearing in such corpus are very sparse, machine learning techniques were not found to be very successful.

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This is my watch.(手錶 ?注視 ?)


N.Y.U.S.T.

I. M.Objective To present a suite of methods and results for the semantic

disambiguation of WordNet glosses.

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This is my watch.(手錶 )


N.Y.U.S.T.

I. M.WordNet

WordNet Noun

ISA relation Verb

Change, communication, cognition, creation, emotion, etc.

Adjective Synonym/Antonym

Adverb Synonym/Antonym

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gloss


N.Y.U.S.T.

I. M.Methodology Semantic disambiguation methods

Monosemous words Same hierarchy relation Lexical parallelism SemCor bigrams Cross-reference Reversed cross-reference Distance among glosses Common domain Patterns First sense restricted Building the WSD system using the methods

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N.Y.U.S.T.

I. M.Methodology Monosemous words

Same hierarchy relation

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N.Y.U.S.T.

I. M.Methodology Lexical parallelism

SemCor bigrams

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N.Y.U.S.T.

I. M.Methodology Cross-reference

Reversed cross-reference

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N.Y.U.S.T.

I. M.Methodology Distance among glosses

Common domain

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N.Y.U.S.T.

I. M.Methodology Patterns

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N.Y.U.S.T.

I. M.Methodology First sense restricted

A sense of noun or verb is more general if it has the smallest number of ancestors from all senses in the ISA hierarchy.

A sense of an adjective is more general if it has the largest number of similarity pointers from all senses.

Building the WSD system using the methods XWN_WSD

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N.Y.U.S.T.

I. M.Experiments

Contribution of each method

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I. M.Experiments

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Voting


N.Y.U.S.T.

I. M.Conclusion

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A suite of heuristical methods are presented for the disambiguation of WordNet glosses.

Once the WordNet glosses are disambiguated, several applications become possible. QA System


N.Y.U.S.T.

I. M.Comments

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Advantage Many samples

Drawback Some mistakes Without theoretical basis

Application WSD, QA System

Documents

Word sense disambiguation of WordNet glosses