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

Shubhanshu Mishra, Sudhanshu Mishra

[How to correct problems with metadata yourself]

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
Editors:
Petr Knoth, Christopher Stahl, Bikash Gyawali, David Pride, Suchetha N. Kunnath, Drahomira Herrmannova
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://preview.aclanthology.org/teach-a-man-to-fish/2020.wosp-1.9.pdf
Code
 napsternxg/citation_context_classification
PDF Search Code