Syntax and lexical statistics in anaphora resolution

I. Dagan; J Justeson; S Lappin; H Leass; A Ribak

Syntax and lexical statistics in anaphora resolution

I. Dagan
, J Justeson
, S Lappin
, H Leass
, A Ribak

Department of Computer Science and Artificial Intelligence

Research output: Contribution to journal › Article › peer-review

Abstract

We describe a syntactically based salience algorithm for pronominal anaphora resolution and a procedure for reevaluating the decisions of the algorithm on the basis of statistically modeled lexical semantic/pragmatic preferences. We report the results of an extensive blind test of both systems on computer manual text. We discuss the implications of these results for the comparative roles of syntactically defined salience and statistically measured lexical preference in determining the references of pronouns in text.

Original language	American English
Pages (from-to)	633-644
Journal	Applied Artificial Intelligence: an international journal
Volume	9
Issue number	6
State	Published - 1995

Cite this

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abstract = "We describe a syntactically based salience algorithm for pronominal anaphora resolution and a procedure for reevaluating the decisions of the algorithm on the basis of statistically modeled lexical semantic/pragmatic preferences. We report the results of an extensive blind test of both systems on computer manual text. We discuss the implications of these results for the comparative roles of syntactically defined salience and statistically measured lexical preference in determining the references of pronouns in text.",

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AU - Dagan, I.

AU - Justeson, J

AU - Lappin, S

AU - Leass, H

AU - Ribak, A

PY - 1995

Y1 - 1995

N2 - We describe a syntactically based salience algorithm for pronominal anaphora resolution and a procedure for reevaluating the decisions of the algorithm on the basis of statistically modeled lexical semantic/pragmatic preferences. We report the results of an extensive blind test of both systems on computer manual text. We discuss the implications of these results for the comparative roles of syntactically defined salience and statistically measured lexical preference in determining the references of pronouns in text.

AB - We describe a syntactically based salience algorithm for pronominal anaphora resolution and a procedure for reevaluating the decisions of the algorithm on the basis of statistically modeled lexical semantic/pragmatic preferences. We report the results of an extensive blind test of both systems on computer manual text. We discuss the implications of these results for the comparative roles of syntactically defined salience and statistically measured lexical preference in determining the references of pronouns in text.

UR - https://scholar.google.co.il/scholar?q=Syntax+and+lexical+statistics+in+anaphora+resolution+&btnG=&hl=en&as_sdt=0%2C5

M3 - Article

VL - 9

SP - 633

EP - 644

JO - Applied Artificial Intelligence: an international journal

JF - Applied Artificial Intelligence: an international journal

IS - 6

ER -

Syntax and lexical statistics in anaphora resolution

Abstract

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