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Conference Papers Year : 2017

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

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 sub-tasks. 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 .
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Dates and versions

hal-02079705 , version 1 (06-05-2022)

Identifiers

  • HAL Id : hal-02079705 , version 1

Cite

Kata Gábor, Davide Buscaldi, Anne-Kathrin Schumann, Behrang Qasemizadeh, Haïfa Zargayouna, et al.. SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers. International Workshop on Semantic Evaluation (SemEval-2018), Jun 2017, New Orleans, United States. pp.679 - 688. ⟨hal-02079705⟩
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