A Machine Learning Parser Using an Unlexicalized Distituent Model
Refereed conference paper presented and published in conference proceedings


香港中文大学研究人员 ( 现职)

庄华祥先生 (决策科学与企业经济学系)

张钦良教授 (语言学及现代语言系)

陈伟光教授 (决策科学与企业经济学系)

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Web of Sciencehttp://aims.cuhk.edu.hk/converis/portal/Publication/0WOS source URL

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摘要Despite the popularity of lexicalized parsing models, practical concerns such as data sparseness and applicability to domains of different vocabularies make unlexicalized models that do not refer to word tokens themselves deserve more attention. A classifier-based parser using an unlexicalized parsing model has been developed. Most importantly, to enhance the accuracy of these tasks, we investigated the notion of distituency (the possibility that two parts of speech cannot remain in the same constituent or phrase) and incorporated it as attributes using various statistic measures. A machine learning method integrates linguistic attributes and information-theoretic attributes in two tasks, namely sentence chunking and phrase recognition. The parser was applied to parsing English and Chinese sentences in the Penn Treebank and the Tsinghua Chinese Treebank. It achieved a parsing performance of F-Score 8http://aims.cuhk.edu.hk/converis/portal/Publication/0.3% in English and 82.4% in Chinese.

着者Chan SWK, Cheung LYL, Chong MWC
会议名称11th International Conference on Intelligent Text Processing and Computational Linguistics
会议开始日21.http://aims.cuhk.edu.hk/converis/portal/Publication/03.2http://aims.cuhk.edu.hk/converis/portal/Publication/01http://aims.cuhk.edu.hk/converis/portal/Publication/0
会议完结日27.http://aims.cuhk.edu.hk/converis/portal/Publication/03.2http://aims.cuhk.edu.hk/converis/portal/Publication/01http://aims.cuhk.edu.hk/converis/portal/Publication/0
会议地点Iasi
会议国家罗马尼亚
期刊名称Lecture Notes in Computer Science
出版年份2http://aims.cuhk.edu.hk/converis/portal/Publication/01http://aims.cuhk.edu.hk/converis/portal/Publication/0
月份1
日期1
卷号6http://aims.cuhk.edu.hk/converis/portal/Publication/0http://aims.cuhk.edu.hk/converis/portal/Publication/08
出版社SPRINGER-VERLAG BERLIN
页次121 - 136
国际标準书号978-3-642-12115-9
国际标準期刊号http://aims.cuhk.edu.hk/converis/portal/Publication/03http://aims.cuhk.edu.hk/converis/portal/Publication/02-9743
语言英式英语

关键词distituency; machine learning; parsing; unlexicalized model
Web of Science 学科类别Computer Science; Computer Science, Information Systems; Computer Science, Theory & Methods