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Open Access

CDCAT: A Multi-Language Cross-Document Entity and Event Coreference Annotation Tool

School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
Beijing Engineering Research Center for Cyberspace Data Analysis and Applications, Beijing 100083, China
Research Institute with Run Technologies Company, Ltd., Beijing 100192, China
School of Information Engineering, Xinjiang Institute of Engineering, Urumqi 830091, China
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Abstract

A tool for the manual annotation of cross-document entity and event coreferences that helps annotators to label mention coreference relations in text is essential for the annotation of coreference corpora. To the best of our knowledge, CROss-document Main Events and entities Recognition (CROMER) is the only open-source manual annotation tool available for cross-document entity and event coreferences. However, CROMER lacks multi-language support and extensibility. Moreover, to label cross-document mention coreference relations, CROMER requires the support of another intra-document coreference annotation tool known as Content Annotation Tool, which is now unavailable. To address these problems, we introduce Cross-Document Coreference Annotation Tool (CDCAT), a new multi-language open-source manual annotation tool for cross-document entity and event coreference, which can handle different input/output formats, preprocessing functions, languages, and annotation systems. Using this new tool, annotators can label a reference relation with only two mouse clicks. Best practice analyses reveal that annotators can reach an annotation speed of 0.025 coreference relations per second on a corpus with a coreference density of 0.076 coreference relations per word. As the first multi-language open-source cross-document entity and event coreference annotation tool, CDCAT can theoretically achieve higher annotation efficiency than CROMER.

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Tsinghua Science and Technology
Pages 589-598

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Cite this article:
Xu Y, Xia B, Wan Y, et al. CDCAT: A Multi-Language Cross-Document Entity and Event Coreference Annotation Tool. Tsinghua Science and Technology, 2022, 27(3): 589-598. https://doi.org/10.26599/TST.2020.9010060

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Received: 17 November 2020
Revised: 02 December 2020
Accepted: 17 December 2020
Published: 13 November 2021
© The author(s) 2022

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).