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Semantic Scholar Open Access 2018 182 sitasi

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

Kata Gábor D. Buscaldi Anne-Kathrin Schumann Behrang Q. Zadeh Haïfa Zargayouna +1 lainnya
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Abstrak

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.

Topik & Kata Kunci

Computer Science

Penulis (6)

K

Kata Gábor

D

D. Buscaldi

A

Anne-Kathrin Schumann

B

Behrang Q. Zadeh

H

Haïfa Zargayouna

T

Thierry Charnois

Format Sitasi

APA MLA BibTeX
Gábor, K., Buscaldi, D., Schumann, A., Zadeh, B.Q., Zargayouna, H., Charnois, T. (2018). SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers. https://doi.org/10.18653/v1/S18-1111

Akses Cepat

Lihat di Sumber doi.org/10.18653/v1/S18-1111
Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
182×
Sumber Database
Semantic Scholar
DOI
10.18653/v1/S18-1111
Akses
Open Access ✓