Boosting Applied to Tagging and PP Attachment

Steven Abney; Robert E. Schapire; Yoram Singer

Boosting Applied to Tagging and PP Attachment

Steven Abney, Robert E. Schapire, Yoram Singer

Research output: Contribution to conference › Paper › peer-review

Abstract

Boosting is a machine learning algorithm that is not well known in computational linguistics. We apply it to part-of-speech tagging and prepositional phrase attachment. Performance is very encouraging. We also show how to improve data quality by using boosting to identify annotation errors.

Original language	English (US)
Pages	38-45
Number of pages	8
State	Published - 1999
Event	1999 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, EMNLP 1999 - College Park, United States Duration: Jun 21 1999 → Jun 22 1999

Conference

Conference	1999 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, EMNLP 1999
Country/Territory	United States
City	College Park
Period	6/21/99 → 6/22/99

All Science Journal Classification (ASJC) codes

Computer Science Applications
Information Systems
Computational Theory and Mathematics

Cite this

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title = "Boosting Applied to Tagging and PP Attachment",

abstract = "Boosting is a machine learning algorithm that is not well known in computational linguistics. We apply it to part-of-speech tagging and prepositional phrase attachment. Performance is very encouraging. We also show how to improve data quality by using boosting to identify annotation errors.",

author = "Steven Abney and Schapire, {Robert E.} and Yoram Singer",

note = "Publisher Copyright: {\textcopyright} 1999 Proceedings of the 1999 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, EMNLP 1999. All rights reserved.; 1999 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, EMNLP 1999 ; Conference date: 21-06-1999 Through 22-06-1999",

year = "1999",

language = "English (US)",

pages = "38--45",

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TY - CONF

T1 - Boosting Applied to Tagging and PP Attachment

AU - Abney, Steven

AU - Schapire, Robert E.

AU - Singer, Yoram

PY - 1999

Y1 - 1999

N2 - Boosting is a machine learning algorithm that is not well known in computational linguistics. We apply it to part-of-speech tagging and prepositional phrase attachment. Performance is very encouraging. We also show how to improve data quality by using boosting to identify annotation errors.

AB - Boosting is a machine learning algorithm that is not well known in computational linguistics. We apply it to part-of-speech tagging and prepositional phrase attachment. Performance is very encouraging. We also show how to improve data quality by using boosting to identify annotation errors.

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UR - http://www.scopus.com/inward/citedby.url?scp=85123474333&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85123474333

SP - 38

EP - 45

T2 - 1999 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, EMNLP 1999

Y2 - 21 June 1999 through 22 June 1999

ER -

Boosting Applied to Tagging and PP Attachment

Abstract

Conference

All Science Journal Classification (ASJC) codes

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