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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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https://hal.inria.fr/hal-02079705
Contributor : Kata Gabor Connect in order to contact the contributor
Submitted on : Friday, May 6, 2022 - 5:28:02 PM
Last modification on : Wednesday, November 2, 2022 - 11:51:39 AM
Long-term archiving on: : Sunday, August 7, 2022 - 6:09:24 PM

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  • HAL Id : hal-02079705, version 1

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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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