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Ana Lucic

Researcher at University of Illinois at Urbana–Champaign

Publications -  17
Citations -  64

Ana Lucic is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Noun & Support vector machine. The author has an hindex of 5, co-authored 16 publications receiving 56 citations. Previous affiliations of Ana Lucic include DePaul University.

Papers
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From Survey to Social Network: Building New Services through Connections

Heather Jagman, +1 more
TL;DR: The Digital Scholarship and Data Services Librarian positions at DePaul University as mentioned in this paper were established in 2015 in response to several new initiatives, such as the formation of Studio χ, a new center for faculty whose research lies at the intersection of humanities and computer science; the creation of a cross-college collaboration task force, and a number of new programs exploring the use of big data.
Proceedings Article

The University of Illinois' Graduate School of Library and Information Science at TREC 2013.

TL;DR: The University of Illinois Graduate School of Library and Information Science (uiucGSLIS) participated in TREC's knowledge base acceleration (KBA) track in 2013 as mentioned in this paper, where they submitted runs for the cumulative citation recommendation (CCR) task.
Proceedings Article

The University of Illinois' Graduate School of Library and Information Science at TREC 2012

TL;DR: The University of Illinois' Graduate School of Library and Information Science (uiucGSLIS) participated in TREC's microblog and knowledge base acceleration (KBA) tracks in 2012 as discussed by the authors.

Automatically identifying facet roles from comparative structures to support biomedical text summarization

Ana Lucic
TL;DR: Mapping of section names in scholarly articles provided a relatively good coverage for a large number of articles in the TREC Genomics collection.
Journal ArticleDOI

Preparing a workforce to effectively reuse data

TL;DR: Efforts to create a graduate educational program that produces alum who understand both the social and technical aspects of data analytics and who can effectively employ data to address questions in academe and industry are documents.