Learning Opinion Summarizers by Selecting Informative Reviews

Author:

Bražinskas Arthur,Lapata Mirella,Titov Ivan

Publisher

Association for Computational Linguistics

Cited by 5 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. FARSum: Feedback-Aware Abstractive Product Review Summarization;Lecture Notes in Networks and Systems;2024

2. Shilling Black-box Review-based Recommender Systems through Fake Review Generation;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

3. Aspect-Sentiment-based Opinion Summarization using Multiple Information Sources;Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD);2023-01-04

4. A Study on Deep Learning Frameworks for Opinion Summarization;Proceedings of Emerging Trends and Technologies on Intelligent Systems;2022-11-16

5. Beyond Opinion Mining;Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval;2022-07-06

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