FineSum: Target-Oriented, Fine-Grained Opinion Summarization

Author:

Ge Suyu1ORCID,Huang Jiaxin1ORCID,Meng Yu1ORCID,Han Jiawei1ORCID

Affiliation:

1. University of Illinois Urbana-Champaign, Urbana, IL, USA

Funder

US DARPA KAIROS Program

National Science Foundation

US DARPA INCAS Program

Publisher

ACM

Reference37 articles.

1. Informative and Controllable Opinion Summarization

2. Extractive Opinion Summarization in Quantized Transformer Spaces

3. Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised

4. Eric Chu and Peter Liu . 2019 . MeanSum: a neural model for unsupervised multi-document abstractive summarization . In International Conference on Machine Learning. PMLR, 1223--1232 . Eric Chu and Peter Liu. 2019. MeanSum: a neural model for unsupervised multi-document abstractive summarization. In International Conference on Machine Learning. PMLR, 1223--1232.

5. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding . In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , Volume 1 (Long and Short Papers). 4171--4186. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 4171--4186.

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