New method of identifying english BaseNPs

Lin Lu; Xuefeng Wang; Donghua Zhu

New method of identifying english BaseNPs

Lin Lu^*, Xuefeng Wang, Donghua Zhu

^*Corresponding author for this work

Beijing Institute of Technology

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

Abstract

A kind of high-powered English BaseNP (base noun phrase) identifier which combines the strengths of statistics-based and rule-based learning is designed and implemented. This identifier views TBL(Transformation-based learning) algorithm as its whole algorithm, applying maximum entropy algorithm to its initialization process during its two phases--rule learning and final tagging. The contrastive experimental results show that this combinative method is superior to both algorithms if applied separately and achieves high precision and recall of over 94%.

Original language	English
Pages (from-to)	647-652
Number of pages	6
Journal	Journal of Computational Information Systems
Volume	4
Issue number	2
Publication status	Published - Apr 2008

Keywords

BaseNP
Maximum entropy
TBL

Cite this

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title = "New method of identifying english BaseNPs",

abstract = "A kind of high-powered English BaseNP (base noun phrase) identifier which combines the strengths of statistics-based and rule-based learning is designed and implemented. This identifier views TBL(Transformation-based learning) algorithm as its whole algorithm, applying maximum entropy algorithm to its initialization process during its two phases--rule learning and final tagging. The contrastive experimental results show that this combinative method is superior to both algorithms if applied separately and achieves high precision and recall of over 94%.",

keywords = "BaseNP, Maximum entropy, TBL",

author = "Lin Lu and Xuefeng Wang and Donghua Zhu",

year = "2008",

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language = "English",

volume = "4",

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journal = "Journal of Computational Information Systems",

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AU - Lu, Lin

AU - Wang, Xuefeng

AU - Zhu, Donghua

PY - 2008/4

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N2 - A kind of high-powered English BaseNP (base noun phrase) identifier which combines the strengths of statistics-based and rule-based learning is designed and implemented. This identifier views TBL(Transformation-based learning) algorithm as its whole algorithm, applying maximum entropy algorithm to its initialization process during its two phases--rule learning and final tagging. The contrastive experimental results show that this combinative method is superior to both algorithms if applied separately and achieves high precision and recall of over 94%.

AB - A kind of high-powered English BaseNP (base noun phrase) identifier which combines the strengths of statistics-based and rule-based learning is designed and implemented. This identifier views TBL(Transformation-based learning) algorithm as its whole algorithm, applying maximum entropy algorithm to its initialization process during its two phases--rule learning and final tagging. The contrastive experimental results show that this combinative method is superior to both algorithms if applied separately and achieves high precision and recall of over 94%.

KW - BaseNP

KW - Maximum entropy

KW - TBL

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M3 - Article

AN - SCOPUS:42549144083

SN - 1553-9105

VL - 4

SP - 647

EP - 652

JO - Journal of Computational Information Systems

JF - Journal of Computational Information Systems

IS - 2

ER -

New method of identifying english BaseNPs

Abstract

Keywords

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