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Preliminary Papers 6: Recommender Systems, Information Systems
Time: 24/Mar/2017: 1:30pm-3:00pm · Location: Wuchang Hall

CORA: A Platform to Support Citation Context Analysis

Bei Yu, Yatish Hegde, Yingya Li

Syracuse University, United States of America

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.

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