Scubed at 3C task A - A simple baseline for citation context purpose classification

Shubhanshu Mishra, Sudhanshu Mishra


Abstract
We present our team Scubed’s approach in the ‘3C’ Citation Context Classification Task, Subtask A, citation context purpose classification. Our approach relies on text based features transformed via tf-idf features followed by training a variety of models which are capable of capturing non-linear features. Our best model on the leaderboard is a multi-layer perceptron which also performs best during our rerun. Our submission code for replicating experiments is at: https://github.com/napsternxg/Citation_Context_Classification.
Anthology ID:
2020.wosp-1.9
Volume:
Proceedings of the 8th International Workshop on Mining Scientific Publications
Month:
05 August
Year:
2020
Address:
Wuhan, China
Venue:
WOSP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
59–64
Language:
URL:
https://aclanthology.org/2020.wosp-1.9
DOI:
Bibkey:
Cite (ACL):
Shubhanshu Mishra and Sudhanshu Mishra. 2020. Scubed at 3C task A - A simple baseline for citation context purpose classification. In Proceedings of the 8th International Workshop on Mining Scientific Publications, pages 59–64, Wuhan, China. Association for Computational Linguistics.
Cite (Informal):
Scubed at 3C task A - A simple baseline for citation context purpose classification (Mishra & Mishra, WOSP 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.wosp-1.9.pdf
Code
 napsternxg/citation_context_classification