SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers

Kata Gábor, Davide Buscaldi, Anne-Kathrin Schumann, Behrang QasemiZadeh, Haïfa Zargayouna, Thierry Charnois

Abstract
This paper describes the first task on semantic relation extraction and classification in scientific paper abstracts at SemEval 2018. The challenge focuses on domain-specific semantic relations and includes three different subtasks. The subtasks were designed so as to compare and quantify the effect of different pre-processing steps on the relation classification results. We expect the task to be relevant for a broad range of researchers working on extracting specialized knowledge from domain corpora, for example but not limited to scientific or bio-medical information extraction. The task attracted a total of 32 participants, with 158 submissions across different scenarios.
Anthology ID:
S18-1111
Volume:
Proceedings of the 12th International Workshop on Semantic Evaluation
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Editors:
Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
679–688
Language:
URL:
https://aclanthology.org/S18-1111
DOI:
10.18653/v1/S18-1111
Bibkey:
Cite (ACL):
Kata Gábor, Davide Buscaldi, Anne-Kathrin Schumann, Behrang QasemiZadeh, Haïfa Zargayouna, and Thierry Charnois. 2018. SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 679–688, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):
SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers (Gábor et al., SemEval 2018)
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PDF:
https://preview.aclanthology.org/nschneid-patch-3/S18-1111.pdf
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