ALS-MRS: Incorporating aspect-level sentiment for abstractive multi-review summarization-Reference-Cited by-同舟云学术

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ALS-MRS: Incorporating aspect-level sentiment for abstractive multi-review summarization

Published:2022-12 Issue: Volume:258 Page:109942
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Zhao Qingjuan,Niu Jianwei,Liu Xuefeng

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference39 articles.

1. Hierarchical transformers for multi-document summarization;Liu,2019

2. Massive multi-document summarization of product reviews with weak supervision;Shapira,2020

3. Rating-boosted abstractive review summarization with neural personalized generation;Xu;Knowl.-Based Syst.,2021

4. Sentiment lossless summarization;Li;Knowl.-Based Syst.,2021

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

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Efficient Aspect-based Sentiment Classification with Hybrid Word Embeddings and CNN Framework;International Journal of Sensors, Wireless Communications and Control;2024-03

2. Part-of-speech- and syntactic-aware graph convolutional network for aspect-level sentiment classification;Multimedia Tools and Applications;2023-09-08

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