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

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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 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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