ContributionSum: Generating Disentangled Contributions for Scientific Papers

Author:

Liu Meng-Huan1ORCID,Yen An-Zi2ORCID,Huang Hen-Hsen3ORCID,Chen Hsin-Hsi1ORCID

Affiliation:

1. National Taiwan University, Taipei, Taiwan Roc

2. National Yang Ming Chiao Tung University, Hsinchu, Taiwan Roc

3. Institute of Information Science, Academia Sinica, Taipei, Taiwan Roc

Funder

Ministry of Science and Technology, Taiwan

Publisher

ACM

Reference26 articles.

1. Iz Beltagy , Kyle Lo , and Arman Cohan . 2019. SciBERT: A Pretrained Language Model for Scientific Text . In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . Association for Computational Linguistics , Hong Kong , China, 3615--3620. https://doi.org/10. 1865 3/v1/D19--1371 10.18653/v1 Iz Beltagy, Kyle Lo, and Arman Cohan. 2019. SciBERT: A Pretrained Language Model for Scientific Text. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, Hong Kong, China, 3615--3620. https://doi.org/10.18653/v1/D19--1371

2. Iz Beltagy , Matthew E Peters , and Arman Cohan . 2020 . Longformer: The long-document transformer. arXiv preprint arXiv:2004.05150 (2020). Iz Beltagy, Matthew E Peters, and Arman Cohan. 2020. Longformer: The long-document transformer. arXiv preprint arXiv:2004.05150 (2020).

3. Isabel Cachola , Kyle Lo , Arman Cohan , and Daniel Weld . 2020 . TLDR: Extreme Summarization of Scientific Documents. In Findings of the Association for Computational Linguistics: EMNLP 2020 . Association for Computational Linguistics, Online, 4766--4777. https://doi.org/10. 18653/v1/2020.findings-emnlp. 428 10.18653/v1 Isabel Cachola, Kyle Lo, Arman Cohan, and Daniel Weld. 2020. TLDR: Extreme Summarization of Scientific Documents. In Findings of the Association for Computational Linguistics: EMNLP 2020. Association for Computational Linguistics, Online, 4766--4777. https://doi.org/10.18653/v1/2020.findings-emnlp.428

4. Avi Caciularu , Arman Cohan , Iz Beltagy , Matthew Peters , Arie Cattan , and Ido Dagan . 2021 . CDLM: Cross-Document Language Modeling. In Findings of the Association for Computational Linguistics: EMNLP 2021 . Association for Computational Linguistics, Punta Cana, Dominican Republic, 2648--2662. https://doi.org/10. 18653/v1/2021.findings-emnlp. 225 10.18653/v1 Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew Peters, Arie Cattan, and Ido Dagan. 2021. CDLM: Cross-Document Language Modeling. In Findings of the Association for Computational Linguistics: EMNLP 2021. Association for Computational Linguistics, Punta Cana, Dominican Republic, 2648--2662. https://doi.org/10.18653/v1/2021.findings-emnlp.225

5. H Chen , H Nguyen , and A Alghamdi . 2022. Constructing a high-quality dataset for automated creation of summaries of fundamental contributions of research articles. Scientometrics ( 2022 ). H Chen, H Nguyen, and A Alghamdi. 2022. Constructing a high-quality dataset for automated creation of summaries of fundamental contributions of research articles. Scientometrics (2022).

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