Abstract
In this paper, we discuss how to identify three important features by our empirical observation – gender and number features of antecedent as well as grammatical role of personal pronoun, which have no overt mark in Chinese. Only a tagger with extended POS set and some special word-lists are used. Finally, We describe an implemented prototypical system to resolve personal pronouns. Evaluation shows that the result is satisfactory.
This work is funded by National Natural Science Foundation of Chinese (No. 60173005)
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kennedy, C., Boguraev, B.: Anaphora for everyone: pronominal anaphora resolution without a parser. In: Proceedings of the 16th International Conference on Computational Linguistics (COLING 1996), Copenhagen, Denmark, pp. 113–118 (1996)
Stuckardt, R.: Machine-learning-based vs. manually designed approaches to anaphor resolution: the best of two worlds. In: Proceedings of the 4th Discourse Anaphora and Anaphor Resolution Colloquium, pp. 211–216 (2002)
Mitkov, R.: Robust Pronoun Resolution with limited knowledge. In: Proceedings of the 17th COLING, Montreal, Canada, pp. 869–875 (1998)
Mitkov, R.: Outstanding issues in anaphora resolution. In: Gelbukh, A. (ed.) CICLing 2001. LNCS, vol. 2004, pp. 110–125. Springer, Heidelberg (2001)
Lappin, S., Leass, H.: An algorithm for pronominal anaphora resolution. Computational Linguistics 20(4), 535–561 (1994)
Soon, W.M., Ng, H.T., Lim, C.Y.: A Machine Learning Approach to Coreference Resolution of Noun Phrases. Computational Linguistics (Special Issue on Computational Anaphora Resolution) 27(4), 521–544 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, H., Mei, Z. (2004). An Empirical Study on Pronoun Resolution in Chinese. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2004. Lecture Notes in Computer Science, vol 2945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24630-5_26
Download citation
DOI: https://doi.org/10.1007/978-3-540-24630-5_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21006-1
Online ISBN: 978-3-540-24630-5
eBook Packages: Springer Book Archive