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arxiv 1707.02268 v3 pith:5JMIXU75 submitted 2017-07-07 cs.CL

Text Summarization Techniques: A Brief Survey

Mehdi Allahyari , Seyedamin Pouriyeh , Mehdi Assefi , Saeid Safaei , Elizabeth D. Trippe , Juan B. Gutierrez , Krys Kochut This is my paper
classification cs.CL
keywords textsummarizationdifferentreviewamountapproachesautomaticbeen
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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In recent years, there has been a explosion in the amount of text data from a variety of sources. This volume of text is an invaluable source of information and knowledge which needs to be effectively summarized to be useful. In this review, the main approaches to automatic text summarization are described. We review the different processes for summarization and describe the effectiveness and shortcomings of the different methods.

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    Two RL-based extractive summarization models rank sentences from product fields by leveraging titles and click-through logs to improve search relevance.