@inproceedings{2f9bc1bae0ae4147b7b0e1e947d28ebf,
title = "An improved sentence polishing model used in automatic extraction",
abstract = "Language modeling plays a critical role for automatic extraction. Typically, the statistical model of automatic extraction suffers from the lack of the subject semantic consistency between sentences and the redundancy of information. In this study, we first introduce our work on automatic extraction, and then analyze the disadvantages of different extracting models. We then present a advanced mathematical model to overcome these lacks based on computational linguistics. As shown by experiments, the proposed modeling and methods can significantly reduce the redundancy of information and increase the subject semantic consistency between sentences of automatic abstraction with moderate computational cost.",
keywords = "Automatic abstraction, automatic extraction, language modeling, semantic paragraph, text representation",
author = "Yan Wu and Xiukun Li and Ruifeng Xu and Lin Yao",
year = "2011",
doi = "10.1109/ICMLC.2011.6016950",
language = "英语",
isbn = "9781457703065",
series = "Proceedings - International Conference on Machine Learning and Cybernetics",
publisher = "IEEE Computer Society",
pages = "1884--1888",
booktitle = "Proceedings of 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011",
address = "美国",
note = "10th International Conference on Machine Learning and Cybernetics, ICMLC 2011 ; Conference date: 10-07-2011 Through 13-07-2011",
}