Aspect and opinion aware abstractive review summarization with reinforced hard typed decoder

Aspect and opinion aware abstractive review summarization with reinforced hard typed decoder

In this paper, we study abstractive review summarization. Observing that review summaries often consist of aspect words, opinion words and context words, we propose a two-stage reinforcement learning approach, which first predicts the output word type from the three types, and then leverages the pre...

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Bibliographic Details
Main Authors: TIAN, Yufei, YU, Jianfei, JIANG, Jing
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
Subjects:
Natural Language Processing
Review Summarization
Text Generation
Neural Networks
Databases and Information Systems
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/4870
https://ink.library.smu.edu.sg/context/sis_research/article/5873/viewcontent/Aspect_Opinion_Aware_pv_oa.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/4870
https://ink.library.smu.edu.sg/context/sis_research/article/5873/viewcontent/Aspect_Opinion_Aware_pv_oa.pdf

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