Computer-supported Interactive Assignment of Keywords for Literature Collections

A curated literature collection on a specific topic helps researchers to find relevant articles quickly. Assigning multiple keywords to each article is one of the techniques to structure such a collection. But it is challenging to assign all the keywords consistently without any gaps or ambiguities....

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Vydáno v:2018 IEEE Workshop on Machine Learning from User Interaction for Visualization and Analytics (MLUI) s. 1 - 9
Hlavní autoři: Agarwal, Shivam, Bernard, Jurgen, Beck, Fabian
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 22.10.2018
Témata:
Computing methodologies
Human-centered computing
Supervised learning by classification
Visualization systems and tools
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Shrnutí:A curated literature collection on a specific topic helps researchers to find relevant articles quickly. Assigning multiple keywords to each article is one of the techniques to structure such a collection. But it is challenging to assign all the keywords consistently without any gaps or ambiguities. We propose to support the user with a machine learning technique that suggests keywords for articles in a literature collection browser. We provide visual explanations to make the keyword suggestions transparent. The suggestions are based on previous keyword assignments. The machine learning technique learns on the fly from the interactive assignments of the user. We seamlessly integrate the proposed technique in an existing literature collection browser and investigate various usage scenarios through an early prototype.
DOI:10.1109/MLUI52768.2018.10075564