Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/41981
Title: Identification and resolution of Chinese zero pronouns: A machine learning approach
Authors: Zhao, S.
Ng, H.T. 
Issue Date: 2007
Source: Zhao, S.,Ng, H.T. (2007). Identification and resolution of Chinese zero pronouns: A machine learning approach. EMNLP-CoNLL 2007 - Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning : 541-550. ScholarBank@NUS Repository.
Abstract: In this paper, we present a machine learning approach to the identification and resolution of Chinese anaphoric zero pronouns. We perform both identification and resolution automatically, with two sets of easily computable features. Experimental results show that our proposed learning approach achieves anaphoric zero pronoun resolution accuracy comparable to a previous state-of-the-art, heuristic rule-based approach. To our knowledge, our work is the first to perform both identification and resolution of Chinese anaphoric zero pronouns using a machine learning approach. © 2007 Association for Computational Linguistics.
Source Title: EMNLP-CoNLL 2007 - Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
URI: http://scholarbank.nus.edu.sg/handle/10635/41981
Appears in Collections:Staff Publications

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