Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part-of-Speech Tagging

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Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part-of-Speech Tagging (1995)

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by Eric Brill

Venue:	Computational Linguistics
Citations:	924 - 8 self

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@ARTICLE{Brill95transformation-basederror-driven,
    author = {Eric Brill},
    title = {Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part-of-Speech Tagging},
    journal = {Computational Linguistics},
    year = {1995},
    volume = {21},
    pages = {543--565}
}

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Abstract

this paper, we will describe a simple rule-based approach to automated learning of linguistic knowledge. This approach has been shown for a number of tasks to capture information in a clearer and more direct fashion without a compromise in performance. We present a detailed case study of this learning method applied to part of speech tagging

Keyphrases

part-of-speech tagging transformation-based error-driven learning case study natural language processing speech tagging direct fashion simple rule-based approach detailed case study linguistic knowledge

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