SciCo: Hierarchical Cross-Document Coreference for Scientific ConceptsDownload PDF

Published: 31 Aug 2021, Last Modified: 22 Oct 2023AKBC 2021Readers: Everyone
Keywords: Cross-document coreference resolution, computer sciences, scientific c
Abstract: Determining coreference of concept mentions across multiple documents is a fundamental task in natural language understanding. Previous work on cross-document coreference resolution (CDCR) typically considers mentions of events in the news, which seldom involve abstract technical concepts that are prevalent in science and technology. These complex concepts take diverse or ambiguous forms and have many hierarchical levels of granularity (e.g., tasks and subtasks), posing challenges for CDCR. We present a new task of Hierarchical CDCR (H-CDCR) with the goal of jointly inferring coreference clusters and hierarchy between them. We create SciCo, an expert-annotated dataset for H-CDCR in scientific papers, 3X larger than the prominent ECB+ resource. We study strong baseline models that we customize for H-CDCR, and highlight challenges for future work. Data and code are available at
Subject Areas: Information Extraction
Archival Status: Archival
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