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	Dialogue Session Segmentation by Embedding-Enhanced TextTiling
	Song, Yiping ; Mou, Lili ; Yan, Rui ; Yi, Li ; Zhu, Zinan ; Hu, Xiaohua ; Zhang, Ming
	2016
关键词	session segmentation conversation system word embeddings
英文摘要	In human-computer conversation systems, the context of a user issued utterance is particularly important because it provides useful background information of the conversation. However, it is unwise to track all previous utterances in the current session as not all of them are equally important. In this paper, we address the problem of session segmentation. We propose an embedding-enhanced TextTiling approach, inspired by the observation that conversation utterances are highly noisy, and that word embeddings provide a robust way of capturing semantics. Experimental results show that our approach achieves better performance than the TextTiling, MMD approaches.; National Natural Science Foundation of China (NSFC Grant) [61272343, 61472006]; Doctoral Program of Higher Education of China [20130001110032]; National Basic Research Program (973 Program) [2014CB340405]; CPCI-S(ISTP); CPCI-SSH(ISSHP); 2706-2710
语种	英语
出处	17th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2016)
DOI标识	10.21437/Interspeech.2016-1234
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/470040]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Song, Yiping,Mou, Lili,Yan, Rui,et al. Dialogue Session Segmentation by Embedding-Enhanced TextTiling. 2016-01-01.

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