@inproceedings{8a4d650c300c4436a03e93c052bf1a2d,
title = "Similarity computation of Chinese question based on chunk",
abstract = "The currently similarity computation methods of Chinese sentence and their shortcomings are analyzed at first. According to the characteristic of the Chinese question sentence, Chinese question general chunk and special chunk are defined, and then a similarity computation method of Chinese question based on chunk is proposed. In this method, the semantic similarity of words is computed on the basis of HowNet. General chunk is recognized by chunk parsing theory and HMM learning method, and special chunk is retrieved with some heuristic rule or SVM learning methods, then the similarity of each chunk in the two question sentences is computed separately, then the similarity computation of question sentence is realized, which is based on chunk similarity. Finally, the experiment result of question similarity computation method shows that the method proposed in the paper gets a better performance than the others.",
keywords = "Chunk similarity, General chunk, Sentence similarity, Special chunk, Word similarity",
author = "Yu, \{Zheng Tao\} and Lei Hu and Li Huang and Deng, \{Jing Hui\} and Tang, \{Shi Ping\}",
year = "2006",
doi = "10.1109/ICMLC.2006.258809",
language = "English",
isbn = "1424400619",
series = "Proceedings of the 2006 International Conference on Machine Learning and Cybernetics",
publisher = "IEEE Computer Society",
pages = "17--22",
booktitle = "Proceedings of the 2006 International Conference on Machine Learning and Cybernetics",
address = "United States",
note = "5th International Conference on Machine Learning and Cybernetics, ICMLC 2006 ; Conference date: 13-08-2006 Through 16-08-2006",
}