Automatic Generation of Abstracts for Research Papers

Dushan Kumarasinghe, Nisansa de Silva


Abstract
Summarizing has always been an important utility for reading long documents. Research papers are unique in this regard, as they have a compulsory summary in the form of the abstract in the beginning of the document which gives the gist of the entire study often within a set upper limit for the word count. Writing the abstract to be sufficiently succinct while being descriptive enough is a hard task even for native English speakers. This study is the first step in generating abstracts for research papers in the computational linguistics domain automatically using the domain-specific abstractive summarization power of the GPT-Neo model.
Anthology ID:
2022.rocling-1.28
Volume:
Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING 2022)
Month:
November
Year:
2022
Address:
Taipei, Taiwan
Venue:
ROCLING
SIG:
Publisher:
The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Note:
Pages:
221–229
Language:
URL:
https://aclanthology.org/2022.rocling-1.28
DOI:
Bibkey:
Cite (ACL):
Dushan Kumarasinghe and Nisansa de Silva. 2022. Automatic Generation of Abstracts for Research Papers. In Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING 2022), pages 221–229, Taipei, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
Cite (Informal):
Automatic Generation of Abstracts for Research Papers (Kumarasinghe & de Silva, ROCLING 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.rocling-1.28.pdf
Data
CNN/Daily Mail