@inproceedings{367c5856ef24439981aeb4f994134e2f,
title = "Sentence similarity measurement based on shallow parsing",
abstract = "The paper proposes a novel method to determine sentence similarities. First two compared sentences are parsed by shallow-parsing and all noun phrases, verb phrases and preposition phrases of each sentence are extracted. Then the similarity between each kind of phrases is calculated based on a semantic vector method. The overall sentence similarity is defined as a combination of semantic similarities of the three kinds of phrases. Experiments show that the proposed method has a high performance in F-measure (81.6\%) and Recall (97.4\%).",
author = "Lin Li and Yiming Zhou and Boqiu Yuan and Jun Wang and Xia Hu",
year = "2009",
doi = "10.1109/FSKD.2009.657",
language = "英语",
isbn = "9780769537351",
series = "6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009",
pages = "487--491",
booktitle = "6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009",
note = "6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009 ; Conference date: 14-08-2009 Through 16-08-2009",
}