Bridget T. McInnes
Zitiert von
Zitiert von
Semantic similarity and relatedness between clinical terms: an experimental study
S Pakhomov, B McInnes, T Adam, Y Liu, T Pedersen, GB Melton
AMIA annual symposium proceedings 2010, 572, 2010
UMLS-Interface and UMLS-Similarity: open source software for measuring paths and semantic similarity
BT McInnes, T Pedersen, SVS Pakhomov
AMIA annual symposium proceedings 2009, 431, 2009
Exploiting MeSH indexing in MEDLINE to generate a data set for word sense disambiguation
AJ Jimeno-Yepes, BT McInnes, AR Aronson
BMC bioinformatics 12 (1), 1-14, 2011
Evaluating measures of semantic similarity and relatedness to disambiguate terms in biomedical text
BT McInnes, T Pedersen
Journal of biomedical informatics 46 (6), 1116-1124, 2013
Literature based discovery: models, methods, and trends
S Henry, BT McInnes
Journal of biomedical informatics 74, 20-32, 2017
Towards a framework for developing semantic relatedness reference standards
SVS Pakhomov, T Pedersen, B McInnes, GB Melton, A Ruggieri, ...
Journal of biomedical informatics 44 (2), 251-265, 2011
Evaluating measures of redundancy in clinical texts
R Zhang, S Pakhomov, BT McInnes, GB Melton
AMIA annual symposium proceedings 2011, 1612, 2011
Semantic relatedness study using second order co-occurrence vectors computed from biomedical corpora, UMLS and WordNet
Y Liu, BT McInnes, T Pedersen, G Melton-Meaux, S Pakhomov
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium …, 2012
Using UMLS Concept Unique Identifiers (CUIs) for word sense disambiguation in the biomedical domain
BT McInnes, T Pedersen, J Carlis
AMIA annual symposium proceedings 2007, 533, 2007
Vector representations of multi-word terms for semantic relatedness
S Henry, C Cuffy, BT McInnes
Journal of biomedical informatics 77, 111-119, 2018
Extending the Log Likelihood Measure to Improve Collection Identification
BT McInnes
University of Minnesota, Duluth, 2004
Knowledge-based Method for Determining the Meaning of Ambiguous Biomedical Terms Using Information Content Measures of Similarity
GBM Bridget T. McInnes, Ted Pedersen, Ying Liu
In Proceedings of the Annual Symposium of the American Medical Informatics …, 2011
Evaluating semantic similarity and relatedness over the semantic grouping of clinical term pairs
BT McInnes, T Pedersen
Journal of biomedical informatics 54, 329-336, 2015
Challenges and practical approaches with word sense disambiguation of acronyms and abbreviations in the clinical domain
S Moon, B McInnes, GB Melton
Healthcare informatics research 21 (1), 35-42, 2015
The Ngram statistics package (text:: nsp): A flexible tool for identifying ngrams, collocations, and word associations
T Pedersen, S Banerjee, B McInnes, S Kohli, M Joshi, Y Liu
Proceedings of the workshop on multiword expressions: From parsing and …, 2011
An unsupervised vector approach to biomedical term disambiguation: integrating UMLS and Medline
B McInnes
Proceedings of the ACL-08: HLT Student Research Workshop, 49-54, 2008
Sentiment classification from multi-class imbalanced twitter data using binarization
B Krawczyk, BT McInnes, A Cano
International Conference on Hybrid Artificial Intelligence Systems, 26-37, 2017
Determining the difficulty of word sense disambiguation
BT McInnes, M Stevenson
Journal of biomedical informatics 47, 83-90, 2014
Using natural language processing techniques to inform research on nanotechnology
NA Lewinski, BT McInnes
Beilstein journal of nanotechnology 6 (1), 1439-1449, 2015
Using second-order vectors in a knowledge-based method for acronym disambiguation
B McInnes, T Pedersen, Y Liu, S Pakhomov, GB Melton
Proceedings of the fifteenth conference on computational natural language …, 2011
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