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arXiv · 1808.09602

Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction

Yi Luan·Luheng He·Mari Ostendorf·Hannaneh Hajishirzi
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Abstract

We introduce a multi-task setup of identifying and classifying entities, relations, and coreference clusters in scientific articles. We create SciERC, a dataset that includes annotations for all three tasks and develop a unified framework called Scientific Information Extractor (SciIE) for with shared span representations. The multi-task setup reduces cascading errors between tasks and leverages cross-sentence relations through coreference links. Experiments show that our multi-task model outperforms previous models in scientific information extraction without using any domain-specific features. We further show that the framework supports construction of a scientific knowledge graph, which we use to analyze information in scientific literature.

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Yi Luan, Luheng He, Mari Ostendorf, Hannaneh Hajishirzi. 2018-08-29. Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction. https://arxiv.org/abs/1808.09602

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