@inproceedings{66281b8d7c5242faae7bd3430d06bd51,
title = "A key component extraction method based on HMM and dependency parsing",
abstract = "Increasing attention has been paid for POI (Point of Interest) data query for travel information service. The correct extraction of key components in question is crucial for improving the accuracy of query results. The paper proposes a key component extraction method based on HMM (Hidden Markov Model) and dependency parsing. Firstly, the sentence pattern classifier is established by HMM. And then, questions are classified by classifier. Finally, combination of sentence pattern's structure, the four key components are extracted by dependency parsing. The results show that the F1-Measure is 0.83, which well proves the effectiveness of the method.",
keywords = "HMM, dependency parsing, key component, segmentation, sentence pattern",
author = "Jianchu Kang and Songsong Pang and Jian Dong and Bowen Du and Jian Huang",
year = "2012",
doi = "10.1109/ICAICT.2012.6398516",
language = "英语",
isbn = "9781467317405",
series = "2012 6th International Conference on Application of Information and Communication Technologies, AICT 2012 - Proceedings",
booktitle = "2012 6th International Conference on Application of Information and Communication Technologies, AICT 2012 - Proceedings",
note = "2012 6th International Conference on Application of Information and Communication Technologies, AICT 2012 ; Conference date: 17-10-2012 Through 19-10-2012",
}