Incorporating compositional evidence in memory-based partial parsing

Yuval Krymolowski; I. Dagan

Incorporating compositional evidence in memory-based partial parsing

Yuval Krymolowski, I. Dagan

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, a memory-based parsing method is extended for handling compositional structures. The method is oriented for learning to parse any selected subset of target syntactic structures. It is local, yet can handle also compositional structures. Parts of speech as well as embedded instances are being used simultaneously. The output is a partial parse in which instances of the target structures are marked.

Original language	American English
Title of host publication	38thAnnual Meeting of the Association for Computational Linguistics (ACL)
Publisher	Association for Computational Linguistics
State	Published - 2000

Bibliographical note

Place of conference:Hong Cong, China

Cite this

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title = "Incorporating compositional evidence in memory-based partial parsing",

abstract = "In this paper, a memory-based parsing method is extended for handling compositional structures. The method is oriented for learning to parse any selected subset of target syntactic structures. It is local, yet can handle also compositional structures. Parts of speech as well as embedded instances are being used simultaneously. The output is a partial parse in which instances of the target structures are marked.",

author = "Yuval Krymolowski and I. Dagan",

note = "Place of conference:Hong Cong, China",

year = "2000",

language = "American English",

booktitle = "38thAnnual Meeting of the Association for Computational Linguistics (ACL)",

publisher = "Association for Computational Linguistics",

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TY - GEN

T1 - Incorporating compositional evidence in memory-based partial parsing

AU - Krymolowski, Yuval

AU - Dagan, I.

N1 - Place of conference:Hong Cong, China

PY - 2000

Y1 - 2000

N2 - In this paper, a memory-based parsing method is extended for handling compositional structures. The method is oriented for learning to parse any selected subset of target syntactic structures. It is local, yet can handle also compositional structures. Parts of speech as well as embedded instances are being used simultaneously. The output is a partial parse in which instances of the target structures are marked.

AB - In this paper, a memory-based parsing method is extended for handling compositional structures. The method is oriented for learning to parse any selected subset of target syntactic structures. It is local, yet can handle also compositional structures. Parts of speech as well as embedded instances are being used simultaneously. The output is a partial parse in which instances of the target structures are marked.

UR - https://scholar.google.co.il/scholar?q=Compositional+Memory-Based+Partial+Parsing+&btnG=&hl=en&as_sdt=0%2C5

M3 - Conference contribution

BT - 38thAnnual Meeting of the Association for Computational Linguistics (ACL)

PB - Association for Computational Linguistics

ER -

Incorporating compositional evidence in memory-based partial parsing

Abstract

Bibliographical note

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