News & Events
Topic: Research Degree Forum (by Ms CAO Jing on 2010-10-21)
Posted - 15/10/2010 : 18:22:45
Department of Chinese, Translation and Linguistics
Research Degree Forum
Enhanced Genre Classification through Linguistically Fine-Grained POS Tags
Ms. CAO Jing
PhD candidate, Department of Chinese, Translation and Linguistics, City University of Hong Kong
Date: 21 October 2010, Thursday
Time: 11:00 am - 12:00 pm
Venue: B7603 (7/F, Blue Zone), Academic Building, CityU
We propose the use of fine-grained part-of-speech (POS) tags as discriminatory attributes for automatic genre classification and report empirical results from an experiment that indicate substantial accuracy gain by such features over the conventional bag-of-words approach through word unigrams. In particular, this paper reports our research to investigate the performance of a fine-grained tag set when tested with the British component of the International Corpus of English. Ten different genre classification tasks were identified and the performance of the tags was evaluated in terms of F-score. Our results show that the use of linguistically fine-grained POS tags produces superior accuracy when compared with word unigrams, particularly for a rich set of 32 different genres with Naïve Bayes Multinominal Classifier. Through a comparison with an impoverished tag set, our results further demonstrate that the superior performance is due to the rich linguistic information embodied in the 400-strong different POS tags.
Ms. CAO Jing is currently a PhD candidate in the Department of Chinese, Translation and Linguistics. Her research interest mainly involves corpus/computational linguistics and terminology.
~ CTL Staff and Research Degree Students only ~