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ACL
2009

Accurate Learning for Chinese Function Tags from Minimal Features

10 years 9 months ago
Accurate Learning for Chinese Function Tags from Minimal Features
Data-driven function tag assignment has been studied for English using Penn Treebank data. In this paper, we address the question of whether such method can be applied to other languages and Treebank resources. In addition to simply extend previous method from English to Chinese, we also proposed an effective way to recognize function tags directly from lexical information, which is easily scalable for languages that lack sufficient parsing resources or have inherent linguistic challenges for parsing. We investigated a supervised sequence learning method to automatically recognize function tags, which achieves an F-score of 0.938 on gold-standard POS (Part-ofSpeech) tagged Chinese text
Caixia Yuan, Fuji Ren, Xiaojie Wang
Added 16 Feb 2011
Updated 16 Feb 2011
Type Journal
Year 2009
Where ACL
Authors Caixia Yuan, Fuji Ren, Xiaojie Wang
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