arXiv:1704.02853
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications
원문 초록
We describe the SemEval task of extracting keyphrases and relations between them from scientific documents, which is crucial for understanding which publications describe which processes, tasks and materials. Although this was a new task, we had a total of 26 submissions across 3 evaluation scenarios. We expect the task and the findings reported in this paper to be relevant for researchers working on understanding scientific content, as well as the broader knowledge base population and information extraction communities.
함께 살펴볼 논문
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Textual Entailment for Effective Triple Validation in Object Prediction
Expanding the Vocabulary of BERT for Knowledge Base Construction
CKBP v2: Better Annotation and Reasoning for Commonsense Knowledge Base Population
PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population
EA$^2$E: Improving Consistency with Event Awareness for Document-Level Argument Extraction
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
토론
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