@inproceedings{aumiller-etal-2020-unihd,
title = "{U}ni{HD}@{CL}-{S}ci{S}umm 2020: Citation Extraction as Search",
author = "Aumiller, Dennis and
Almasian, Satya and
Hausner, Philip and
Gertz, Michael",
booktitle = "Proceedings of the First Workshop on Scholarly Document Processing",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.sdp-1.29",
doi = "10.18653/v1/2020.sdp-1.29",
pages = "261--269",
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.",
}
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%0 Conference Proceedings
%T UniHD@CL-SciSumm 2020: Citation Extraction as Search
%A Aumiller, Dennis
%A Almasian, Satya
%A Hausner, Philip
%A Gertz, Michael
%S Proceedings of the First Workshop on Scholarly Document Processing
%D 2020
%8 nov
%I Association for Computational Linguistics
%C Online
%F aumiller-etal-2020-unihd
%X 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.
%R 10.18653/v1/2020.sdp-1.29
%U https://aclanthology.org/2020.sdp-1.29
%U https://doi.org/10.18653/v1/2020.sdp-1.29
%P 261-269
Markdown (Informal)
[UniHD@CL-SciSumm 2020: Citation Extraction as Search](https://aclanthology.org/2020.sdp-1.29) (Aumiller et al., sdp 2020)
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.