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