Sentence Compression Based on ILP Decoding Method
With the tremendous increasing of information, the demands of in formation from people advanced the development of Nature Language Processing (NLP).As a consequent, Sentence compression, which is an impor tant part of automatic summarization, draws much more attention.Sentence compression has been widely used in automatic title generation, Searching Engine, Topic detection and Summarization.Under the framework of discri minative model, this paper presents a decoding method based on Integer Linear Programming (ILP), which considers sentence compression as the selection of the optimal compressed target sentence.Experiment results show that the ILP-based system maintains a good compression ratio while remaining the main information of source sentence.Compared to other decoding method, this me thod has the advantage of speed and using fewer features in the case of similar results obtained.
Sentence Compression Integer Linear Programming Structured Learning
Hongling Wang Yonglei Zhang Guodong Zhou
Natural Language Processing Lab, Soochow University, Suzhou, Jiangsu, 215006 School of Computer Science & Technology, Soochow University, Suzhou, Jiangsu, 215006
国际会议
Second CCF Conference,NLPCC2013(第二届自然语言处理与中文计算会议)
重庆
英文
19-29
2013-11-15（万方平台首次上网日期，不代表论文的发表时间）