@inproceedings{16b988169d544d48aea1e911c2a2f7df,
title = "A combination of rule and supervised learning approach to recognize paraphrases",
abstract = "Paraphrase recognition is the basic of paraphrase researches. However, most of the existing researches mainly focus on the acquirement of paraphrases from a certain text corpus, or their methods are restricted to certain conditions. There is not a method that can decide whether two sentences are paraphrases generally. This paper presents a combination of rule and supervised learning method to recognize paraphrases. In this method, we make use of the classification of paraphrases and adopt different approaches to recognize paraphrases according to the types they belong to. And the key point is how to use a variety of strategies to get the semantic similarity of two sentences. As the system is mainly for Question Answering (QA), evaluations are conducted on a corpus of sentence pairs mainly collected from a QA system, Baidu zhidao. Results show that the precision exceeds 75\% on the simple sentences whose syntax analyses are correct, which is significantly higher than most of the existing methods.",
keywords = "Paraphrase, Question answering, Semantic similarity, Syntactic structure",
author = "Liu, \{Bing Quan\} and Shuai Xu and Wang, \{Bao Xun\}",
year = "2009",
doi = "10.1109/ICMLC.2009.5212543",
language = "英语",
isbn = "9781424437030",
series = "Proceedings of the 2009 International Conference on Machine Learning and Cybernetics",
publisher = "IEEE Computer Society",
pages = "110--115",
booktitle = "Proceedings of the 2009 International Conference on Machine Learning and Cybernetics",
address = "美国",
note = "8th International Conference on Machine Learning and Cybernetics, ICMLC 2009 ; Conference date: 12-07-2009 Through 15-07-2009",
}