主讲 人:Alex C. Fang
时间:2014年11月12日 (下周三)10:10-11:30
地点:南校区图书馆二楼报告厅
主办单位:人事处、教师发展中心
承办单位:语言工程与计算广东省社会科学重点实验室
讲座内容简介:
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 Multinomial 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.
主讲人简介:
Alex Chengyu Fang is a computational linguist in corpus linguistics and natural language processing. He held various research positions in the English Department of University College London (UCL), UK, before his appointment as Deputy Director of the Survey of English Usage, UCL. He later became a Senior Research Fellow and then Honorary Senior Research Fellow in UCL’s Department of Phonetics and Linguistics and lectured in the Computer Science Department of the same university on Intelligent Text Handling, Intelligent Systems, and Principles of Programming before joining the Department of Linguistics and Translation, City University of Hong Kong. He is a national expert representing China in the International Organization for Standardization (ISO) for matters related to terminology and language resources. He is also an appointed member of China National Technical Committee on Terminology for Standardization (全国术语标准化技术委员会).
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人事处、教师发展中心
2014年11月7日