@inproceedings{737d223847e34562a1d70cee5299e4ae,
title = "A method of Chinese coreference resolution combined multi-features in discourse",
abstract = "Coreference that is a kind of ubiquitous language phenomenon makes the topic more highlighted and the narration more concise and coherent in discourse. Conversely, it leads to ambiguity in Natural Language Processing as well. Coreference resolution is the process that eliminates the indeterminacy caused by coreferential forms. To improve the current system, a method of coreference resolution combined with multi-features, mainly including clause's or full-sentence's distance, semantic class, and shorten-form features, is proposed in this paper. Experiments show that those features are valuable and have certain effects on the performance of resolution. It can be verified by both precision and F-measure in Chinese-oriented text discourse. In addition, a novelty point absorbed somewhat domain ontological idea in our previous work and embodied further in this paper is rather than usual manual linguistic rules-based approaches for processing the resolution.",
keywords = "CRF, Coreference resolution, Decision tree, Multi-features, NER",
author = "Shi, {Shu Min} and Huang, {He Yan} and Chen, {Rui Yang}",
year = "2010",
doi = "10.1109/ICMLC.2010.5580883",
language = "English",
isbn = "9781424465262",
series = "2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010",
pages = "1311--1316",
booktitle = "2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010",
note = "2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010 ; Conference date: 11-07-2010 Through 14-07-2010",
}