CORA: A platform to support citation context analysis

Yu, Bei; Hegde, Yatish; Li, Yingya

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https://hdl.handle.net/2142/96770 Copy

Description

Title

CORA: A platform to support citation context analysis

Author(s)

• Yu, Bei
• Hegde, Yatish
• Li, Yingya

Issue Date

2017

Keyword(s)

• Citation content analysis
• Opinion mining
• System design
• Data management

Abstract

In scholarly communication, researchers not only express their evaluative opinions towards peer work in citation statements, they retrieve and summarize these opinions by following citation links. Aggregated citation opinions are critical for determining validity of scientific claims as well as for identifying the best methods to be applied, which can provide valuable input for comprehensive literature review and reference for research impact assessment. Current effort for automated citation context analysis has focused more on algorithm design and much less on designing open-access platform to support sustainable research. We designed CORA, an open-access platform to support citation context analysis. This paper describes the CORA infrastructure that supports major tasks in citation context analysis, including free-text human annotation, management of large text corpora with layers of annotations and markups, citation context retrieval, developer APIs for algorithm design and implementation, and also user evaluation.

Publisher

iSchools

Series/Report Name or Number

iConference 2017 Proceedings

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/96770

Copyright and License Information

Copyright 2017 Bei Yu, Yatish Hegde, and Yingya Li

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