Optimizing Domain Specificity of Transformer-based Language Models for Extractive Summarization of Financial News Articles in Korean

Huije Lee, Wonsuk Yang, Chaehun Park, Hoyun Song, Eugene Jang, Jong C. Park


Anthology ID:
2021.paclic-1.64
Volume:
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation
Month:
11
Year:
2021
Address:
Shanghai, China
Editors:
Kaibao Hu, Jong-Bok Kim, Chengqing Zong, Emmanuele Chersoni
Venue:
PACLIC
SIG:
Publisher:
Association for Computational Lingustics
Note:
Pages:
611–621
Language:
URL:
https://aclanthology.org/2021.paclic-1.64
DOI:
Bibkey:
Cite (ACL):
Huije Lee, Wonsuk Yang, Chaehun Park, Hoyun Song, Eugene Jang, and Jong C. Park. 2021. Optimizing Domain Specificity of Transformer-based Language Models for Extractive Summarization of Financial News Articles in Korean. In Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, pages 611–621, Shanghai, China. Association for Computational Lingustics.
Cite (Informal):
Optimizing Domain Specificity of Transformer-based Language Models for Extractive Summarization of Financial News Articles in Korean (Lee et al., PACLIC 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.paclic-1.64.pdf
Code
 21644h/DP_QA_joint_model
Data
Molweni