M<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si57.svg" display="inline" id="d1e1369"><mml:msup><mml:mrow /><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:math>A: A model-agnostic and metadata-free adversarial framework for unsupervised opinion summarization-Reference-Cited by-同舟云学术

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M2A: A model-agnostic and metadata-free adversarial framework for unsupervised opinion summarization

Published:2024-03 Issue: Volume:84 Page:101570
ISSN:0885-2308
Container-title:Computer Speech & Language
language:en
Short-container-title:Computer Speech & Language

Author:

Zhang Yanyue,Zhou Deyu,Wang Zhenglin,Lai Yilong

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference52 articles.

1. Aspect-controllable opinion summarization;Amplayo,2021

2. Unsupervised opinion summarization with content planning;Amplayo,2021

3. Unsupervised opinion summarization with noising and denoising;Amplayo,2020

4. Extractive opinion summarization in quantized transformer spaces;Angelidis;Trans. Assoc. Comput. Linguist.,2021

5. Summarizing opinions: Aspect extraction meets sentiment prediction and they are both weakly supervised;Angelidis,2018

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