CASIA OpenIR  > 模式识别国家重点实验室  > 自然语言处理
Review Headline Generation with User Embedding
Tianshang Liu1,2; Haoran Li1,2; Junnan Zhu1,2; Jiajun Zhang1,2; Chengqing Zong1,2,3
2018-10-07
Conference Name17th China National Conference on Chinese Computational Linguistics, CCL 2018
Conference Date19-21 October, 2018
Conference PlaceChangsha, China
Abstract

In this paper, we conduct a review headline generation task that produces a short headline from a review post by a user. We argue that this task is more challenging than document summarization, because the headlines generated by users vary from person to person. It not only needs to effectively capture the preferences of the users who post the reviews, but also requires to mine the emphasis of the users regarding the review when they write the headlines. To this end, we propose to incorporate the user information as the prior knowledge into the encoder and decoder for general sequence-to-sequence model. Specifically, we introduce user embedding for each user, and then we use these embeddings to initialize the encoder and decoder, or as biases for decoder initialization. We construct a review headline generation dataset, and the experiments on this dataset demonstrate that our models significantly outperform baseline models which do not consider user information. 

KeywordReview Headline Generation User Embedding Sequence-to-sequence Neural Network
MOST Discipline Catalogue工学::计算机科学与技术(可授工学、理学学位)
DOI10.1007/978-3-030-01716-3_27
URL查看原文
Indexed ByEI
Language英语
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Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23665
Collection模式识别国家重点实验室_自然语言处理
Corresponding AuthorTianshang Liu
Affiliation1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
3.CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai 200031, China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Tianshang Liu,Haoran Li,Junnan Zhu,et al. Review Headline Generation with User Embedding[C],2018.
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