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

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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)
Copy Citation:
PDF:
https://preview.aclanthology.org/teach-a-man-to-fish/S18-1111.pdf