中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Task-oriented keyphrase extraction from social media

文献类型:期刊论文

作者Wei Zhao; Jia Zhu; Qiang Qu; Wei Xu; YuZhi Liang; Min Yang
刊名Multimedia Tools and Applications
出版日期2017
文献子类期刊论文
英文摘要Keyphrase extraction from social media is a crucial and challenging task. Previous studies usually focus on extracting keyphrases that provide the summary of a corpus. However, they do not take users’ specific needs into consideration. In this paper, we propose a novel three-stage model to learn a keyphrase set that represents or related to a particular topic. Firstly, a phrase mining algorithm is applied to segment the documents into human-interpretable phrases. Secondly, we propose a weakly supervised model to extract candidate keyphrases, which uses a few pre-specific seed keyphrases to guide the model. The model consequently makes the extracted keyphrases more specific and related to the seed keyphrases (which reflect the user’s needs). Finally, to further identify the implicitly related phrases, the PMI-IR algorithm is employed to obtain the synonyms of the extracted candidate keyphrases. We conducted experiments on two publicly available datasets from news and Twitter. The experimental results demonstrate that our approach outperforms the state-of-the-art baselines and has the potential to extract high-quality task-oriented keyphrases.
URL标识查看原文
语种英语
WOS记录号WOS:000425132600014
源URL[http://ir.siat.ac.cn:8080/handle/172644/11925]  
专题深圳先进技术研究院_其他
作者单位Multimedia Tools and Applications
推荐引用方式
GB/T 7714
Wei Zhao,Jia Zhu,Qiang Qu,et al. Task-oriented keyphrase extraction from social media[J]. Multimedia Tools and Applications,2017.
APA Wei Zhao,Jia Zhu,Qiang Qu,Wei Xu,YuZhi Liang,&Min Yang.(2017).Task-oriented keyphrase extraction from social media.Multimedia Tools and Applications.
MLA Wei Zhao,et al."Task-oriented keyphrase extraction from social media".Multimedia Tools and Applications (2017).

入库方式: OAI收割

来源:深圳先进技术研究院

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