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
- Venue:
- sdp
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 261–269
- Language:
- URL:
- https://aclanthology.org/2020.sdp-1.29
- DOI:
- 10.18653/v1/2020.sdp-1.29
- Cite (ACL):
- Dennis Aumiller, Satya Almasian, Philip Hausner, and Michael Gertz. 2020. UniHD@CL-SciSumm 2020: Citation Extraction as Search. In Proceedings of the First Workshop on Scholarly Document Processing, pages 261–269, Online. Association for Computational Linguistics.
- Cite (Informal):
- UniHD@CL-SciSumm 2020: Citation Extraction as Search (Aumiller et al., sdp 2020)
- PDF:
- https://preview.aclanthology.org/nodalida-main-page/2020.sdp-1.29.pdf
- Data
- ScisummNet