Lana Yeganova

According to our database1, Lana Yeganova authored at least 28 papers between 2003 and 2020.

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Bibliography

2020
Navigating the landscape of COVID-19 research through literature analysis: A bird's eye view.
CoRR, 2020

2019
PDC - a probabilistic distributional clustering algorithm: a case study on suicide articles in PubMed.
CoRR, 2019

2018
Discovering themes in biomedical literature using a projection-based algorithm.
BMC Bioinform., 2018

A Field Sensor: computing the composition and intent of PubMed queries.
Database J. Biol. Databases Curation, 2018

SingleCite: Towards an improved Single Citation Search in PubMed.
Proceedings of the BioNLP 2018 workshop, Melbourne, Australia, July 19, 2018, 2018

MeSH-based dataset for measuring the relevance of text retrieval.
Proceedings of the BioNLP 2018 workshop, Melbourne, Australia, July 19, 2018, 2018

2016
<i>Meshable</i>: searching PubMed abstracts by utilizing MeSH and MeSH-derived topical terms.
Bioinform., 2016

PubTermVariants: biomedical term variants and their use for PubMed search.
Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016

2015
Extracting drug-drug interactions from literature using a rich feature-based linear kernel approach.
J. Biomed. Informatics, 2015

Summarizing Topical Contents from PubMed Documents Using a Thematic Analysis.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Author name disambiguation for PubMed.
J. Assoc. Inf. Sci. Technol., 2014

Retro: concept-based clustering of biomedical topical sets.
Bioinform., 2014

Finding abbreviations in biomedical literature: three BioC-compatible modules and four BioC-formatted corpora.
Database J. Biol. Databases Curation, 2014

2013
Reports on the 2012 AAAI Fall Symposium Series.
AI Mag., 2013

2012
Identifying well-formed biomedical phrases in MEDLINE® text.
J. Biomed. Informatics, 2012

Finding biomedical categories in Medline<sup>®</sup>.
J. Biomed. Semant., 2012

Topics in machine learning for biomedical literature analysis and text retrieval.
J. Biomed. Semant., 2012

Automatic Identification of Key Concepts in Large PubMed Retrievals.
Proceedings of the Information Retrieval and Knowledge Discovery in Biomedical Text, 2012

Organizers.
Proceedings of the Information Retrieval and Knowledge Discovery in Biomedical Text, 2012

2011
Machine learning with naturally labeled data for identifying abbreviation definitions.
BMC Bioinform., 2011

Comparison of Two Methods for Finding Biomedical Categories in Medline.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Text Mining Techniques for Leveraging Positively Labeled Data.
Proceedings of the 2011 Workshop on Biomedical Natural Language Processing, 2011

2010
Identifying Abbreviation Definitions Machine Learning with Naturally Labeled Data.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009
Relationships between Borda voting and Zermelo ranking.
Soc. Choice Welf., 2009

How to interpret PubMed queries and why it matters.
J. Assoc. Inf. Sci. Technol., 2009

2005
The Synergy Between PAV and AdaBoost.
Mach. Learn., 2005

2004
Identification of related gene/protein names based on an HMM of name variations.
Comput. Biol. Chem., 2004

2003
Hidden Markov models and optimized sequence alignments.
Comput. Biol. Chem., 2003


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