UniHD@CL-SciSumm 2020: Citation Extraction as Search

Dennis Aumiller, Satya Almasian, Philip Hausner, Michael Gertz


Abstract
This work presents the entry by the team from Heidelberg University in the CL-SciSumm 2020 shared task at the Scholarly Document Processing workshop at EMNLP 2020. As in its previous iterations, the task is to highlight relevant parts in a reference paper, depending on a citance text excerpt from a citing paper. We participated in tasks 1A (citation identification) and 1B (citation context classification). Contrary to most previous works, we frame Task 1A as a search relevance problem, and introduce a 2-step re-ranking approach, which consists of a preselection based on BM25 in addition to positional document features, and a top-k re-ranking with BERT. For Task 1B, we follow previous submissions in applying methods that deal well with low resources and imbalanced classes.
Anthology ID:
2020.sdp-1.29
Volume:
Proceedings of the First Workshop on Scholarly Document Processing
Month:
November
Year:
2020
Address:
Online
Venues:
EMNLP | sdp
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
261–269
Language:
URL:
https://www.aclweb.org/anthology/2020.sdp-1.29
DOI:
10.18653/v1/2020.sdp-1.29
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.sdp-1.29.pdf