1A-Team / Martin-Luther-Universität Halle-Wittenberg@CLSciSumm 20
Artur Jurk, Maik Boltze, Georg Keller, Lorna Ulbrich, Anja Fischer
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Abstract
This document demonstrates our groups approach to the CL-SciSumm shared task 2020. There are three tasks in CL-SciSumm 2020. In Task 1a, we apply a Siamese neural network to identify the spans of text in the reference paper best reflecting a citation. In Task 1b, we use a SVM to classify the facet of a citation.- Anthology ID:
- 2020.sdp-1.31
- Volume:
- Proceedings of the First Workshop on Scholarly Document Processing
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Editors:
- Muthu Kumar Chandrasekaran, Anita de Waard, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard Hovy, Petr Knoth, David Konopnicki, Philipp Mayr, Robert M. Patton, Michal Shmueli-Scheuer
- Venue:
- sdp
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 277–281
- Language:
- URL:
- https://aclanthology.org/2020.sdp-1.31/
- DOI:
- 10.18653/v1/2020.sdp-1.31
- Bibkey:
- Cite (ACL):
- Artur Jurk, Maik Boltze, Georg Keller, Lorna Ulbrich, and Anja Fischer. 2020. 1A-Team / Martin-Luther-Universität Halle-Wittenberg@CLSciSumm 20. In Proceedings of the First Workshop on Scholarly Document Processing, pages 277–281, Online. Association for Computational Linguistics.
- Cite (Informal):
- 1A-Team / Martin-Luther-Universität Halle-Wittenberg@CLSciSumm 20 (Jurk et al., sdp 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.sdp-1.31.pdf
Export citation
@inproceedings{jurk-etal-2020-1a, title = {1{A}-Team / {M}artin-Luther-Universit{\"a}t Halle-Wittenberg@{CLS}ci{S}umm 20}, author = "Jurk, Artur and Boltze, Maik and Keller, Georg and Ulbrich, Lorna and Fischer, Anja", editor = "Chandrasekaran, Muthu Kumar and de Waard, Anita and Feigenblat, Guy and Freitag, Dayne and Ghosal, Tirthankar and Hovy, Eduard and Knoth, Petr and Konopnicki, David and Mayr, Philipp and Patton, Robert M. and Shmueli-Scheuer, Michal", 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-1.31/", doi = "10.18653/v1/2020.sdp-1.31", pages = "277--281", abstract = "This document demonstrates our groups approach to the CL-SciSumm shared task 2020. There are three tasks in CL-SciSumm 2020. In Task 1a, we apply a Siamese neural network to identify the spans of text in the reference paper best reflecting a citation. In Task 1b, we use a SVM to classify the facet of a citation." }
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%0 Conference Proceedings %T 1A-Team / Martin-Luther-Universität Halle-Wittenberg@CLSciSumm 20 %A Jurk, Artur %A Boltze, Maik %A Keller, Georg %A Ulbrich, Lorna %A Fischer, Anja %Y Chandrasekaran, Muthu Kumar %Y de Waard, Anita %Y Feigenblat, Guy %Y Freitag, Dayne %Y Ghosal, Tirthankar %Y Hovy, Eduard %Y Knoth, Petr %Y Konopnicki, David %Y Mayr, Philipp %Y Patton, Robert M. %Y Shmueli-Scheuer, Michal %S Proceedings of the First Workshop on Scholarly Document Processing %D 2020 %8 November %I Association for Computational Linguistics %C Online %F jurk-etal-2020-1a %X This document demonstrates our groups approach to the CL-SciSumm shared task 2020. There are three tasks in CL-SciSumm 2020. In Task 1a, we apply a Siamese neural network to identify the spans of text in the reference paper best reflecting a citation. In Task 1b, we use a SVM to classify the facet of a citation. %R 10.18653/v1/2020.sdp-1.31 %U https://aclanthology.org/2020.sdp-1.31/ %U https://doi.org/10.18653/v1/2020.sdp-1.31 %P 277-281
Markdown (Informal)
[1A-Team / Martin-Luther-Universität Halle-Wittenberg@CLSciSumm 20](https://aclanthology.org/2020.sdp-1.31/) (Jurk et al., sdp 2020)
- 1A-Team / Martin-Luther-Universität Halle-Wittenberg@CLSciSumm 20 (Jurk et al., sdp 2020)
ACL
- Artur Jurk, Maik Boltze, Georg Keller, Lorna Ulbrich, and Anja Fischer. 2020. 1A-Team / Martin-Luther-Universität Halle-Wittenberg@CLSciSumm 20. In Proceedings of the First Workshop on Scholarly Document Processing, pages 277–281, Online. Association for Computational Linguistics.