Lana Yeganova


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SingleCite: Towards an improved Single Citation Search in PubMed
Lana Yeganova | Donald C Comeau | Won Kim | W John Wilbur | Zhiyong Lu
Proceedings of the BioNLP 2018 workshop

A search that is targeted at finding a specific document in databases is called a Single Citation search. Single citation searches are particularly important for scholarly databases, such as PubMed, because users are frequently searching for a specific publication. In this work we describe SingleCite, a single citation matching system designed to facilitate user’s search for a specific document. We report on the progress that has been achieved towards building that functionality.

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MeSH-based dataset for measuring the relevance of text retrieval
Won Gyu Kim | Lana Yeganova | Donald Comeau | W John Wilbur | Zhiyong Lu
Proceedings of the BioNLP 2018 workshop

Creating simulated search environments has been of a significant interest in infor-mation retrieval, in both general and bio-medical search domains. Existing collec-tions include modest number of queries and are constructed by manually evaluat-ing retrieval results. In this work we pro-pose leveraging MeSH term assignments for creating synthetic test beds. We select a suitable subset of MeSH terms as queries, and utilize MeSH term assignments as pseudo-relevance rankings for retrieval evaluation. Using well studied retrieval functions, we show that their performance on the proposed data is consistent with similar findings in previous work. We further use the proposed retrieval evaluation framework to better understand how to combine heterogeneous sources of textual information.


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PubTermVariants: biomedical term variants and their use for PubMed search
Lana Yeganova | Won Kim | Sun Kim | Rezarta Islamaj Doğan | Wanli Liu | Donald C Comeau | Zhiyong Lu | W John Wilbur
Proceedings of the 15th Workshop on Biomedical Natural Language Processing


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Summarizing Topical Contents from PubMed Documents Using a Thematic Analysis
Sun Kim | Lana Yeganova | W. John Wilbur
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing


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Text Mining Techniques for Leveraging Positively Labeled Data
Lana Yeganova | Donald C. Comeau | Won Kim | W. John Wilbur
Proceedings of BioNLP 2011 Workshop