Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conferen 2019
DOI: 10.18653/v1/d19-3033
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Redcoat: A Collaborative Annotation Tool for Hierarchical Entity Typing

Abstract: We introduce Redcoat, a web-based annotation tool that supports collaborative hierarchical entity typing. As an annotation tool, Redcoat also facilitates knowledge elicitation by allowing the creation and continuous refinement of concept hierarchies during annotation. It aims to minimise not only annotation time but the time it takes for project creators to set up and distribute projects to annotators. Projects created using the web-based interface can be rapidly distributed to a list of email addresses. Redco… Show more

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Cited by 15 publications
(12 citation statements)
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“…Since then, many Webbased systems for annotating text have been developed (Stenetorp et al, 2012;Salgado et al, 2012;Wei et al, 2013;Yimam et al, 2013;Chen and Styler, 2013;Eckart de Castilho et al, 2016;Putra et al, 2020). Other systems support collaboration among multiple annotators (Yang et al, 2018;Stewart et al, 2019). More recently, many annotation systems have begun to incorporate learned models to improve workflow, using techniques such as ac- tive learning (Lin et al, 2019; and example recommendation (Lee et al, 2020;.…”
Section: Background and Related Workmentioning
confidence: 99%
“…Since then, many Webbased systems for annotating text have been developed (Stenetorp et al, 2012;Salgado et al, 2012;Wei et al, 2013;Yimam et al, 2013;Chen and Styler, 2013;Eckart de Castilho et al, 2016;Putra et al, 2020). Other systems support collaboration among multiple annotators (Yang et al, 2018;Stewart et al, 2019). More recently, many annotation systems have begun to incorporate learned models to improve workflow, using techniques such as ac- tive learning (Lin et al, 2019; and example recommendation (Lee et al, 2020;.…”
Section: Background and Related Workmentioning
confidence: 99%
“…40 These NLP-based tools allow for the manual injection of real-world knowledge into the learning process by providing ontological information that can guide categorization and generalization. Two such tools, Nestor 41 and Redcoat, 42 allow for the tagging of short technical text, such as found in MWO descriptions, with annotations that facilitate processing. Machine learning systems can then use these tags as a signal to promote generalization by helping to mitigate the shallow heuristics and spurious correlations that could otherwise affect learning.…”
Section: Do Algorithms Understand?mentioning
confidence: 99%
“…We conclude this chapter with related work on methods to evaluate the contribution of annotation tools. A comparison at the functional level is often performed for tools with a large feature set, such as RedCoat (Stewart et al, 2019). Conversely, there are situations in which the performance of actual tasks are directly evaluated.…”
Section: Evaluation For Annotation Toolsmentioning
confidence: 99%