Proceedings of the 1992 ACM/IEEE conference on Supercomputing
Automatic indexing of documents from journal descriptors: a preliminary investigation
Journal of the American Society for Information Science
An automatic method for generating sense tagged corpora
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Discovering word senses from text
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Introduction to the special issue on word sense disambiguation: the state of the art
Computational Linguistics - Special issue on word sense disambiguation
Introduction to the special issue on evaluating word sense disambiguation systems
Natural Language Engineering
The role of domain information in Word Sense Disambiguation
Natural Language Engineering
Word-sense disambiguation using statistical methods
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Word-sense disambiguation using statistical models of Roget's categories trained on large corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Unsupervised monolingual and bilingual word-sense disambiguation of medical documents using UMLS
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
Journal of Information Science
International Journal of Data Mining and Bioinformatics
Using the Intension of Classes and Properties Definition in Ontologies for Word Sense Disambiguation
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Word sense disambiguation across two domains: Biomedical literature and clinical notes
Journal of Biomedical Informatics
International Journal of Data Mining and Bioinformatics
An unsupervised vector approach to biomedical term disambiguation: integrating UMLS and Medline
HLT-SRWS '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Student Research Workshop
Knowledge sources for word sense disambiguation of biomedical text
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Interpreting comparative constructions in biomedical text
BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing
Acquiring sense tagged examples using relevance feedback
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Journal of the American Society for Information Science and Technology
UMLS content views appropriate for NLP processing of the biomedical literature vs. clinical text
Journal of Biomedical Informatics
On the potential search effectiveness of MeSH (medical subject headings) terms
Proceedings of the third symposium on Information interaction in context
Disambiguation of ambiguous biomedical terms using examples generated from the UMLS Metathesaurus
Journal of Biomedical Informatics
Disambiguation in the biomedical domain: The role of ambiguity type
Journal of Biomedical Informatics
Sense-based biomedical indexing and retrieval
NLDB'10 Proceedings of the Natural language processing and information systems, and 15th international conference on Applications of natural language to information systems
Use of Medical Subject Headings (MeSH) in Portuguese for categorizing web-based healthcare content
Journal of Biomedical Informatics
A semantic graph-based approach to biomedical summarisation
Artificial Intelligence in Medicine
Disambiguation of medline abstracts using topic models
Proceedings of the ACM fifth international workshop on Data and text mining in biomedical informatics
Resolving ambiguity in biomedical text to improve summarization
Information Processing and Management: an International Journal
Degree centrality for semantic abstraction summarization of therapeutic studies
Journal of Biomedical Informatics
Scaling up WSD with automatically generated examples
BioNLP '12 Proceedings of the 2012 Workshop on Biomedical Natural Language Processing
Semantic relatedness for biomedical word sense disambiguation
TextGraphs-7 '12 Workshop Proceedings of TextGraphs-7 on Graph-based Methods for Natural Language Processing
A genetic graph-based clustering approach to biomedical summarization
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
A methodology for extending domain coverage in SemRep
Journal of Biomedical Informatics
Evaluating measures of semantic similarity and relatedness to disambiguate terms in biomedical text
Journal of Biomedical Informatics
Determining the difficulty of Word Sense Disambiguation
Journal of Biomedical Informatics
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An experiment was performed at the National Library of Medicine® (NLM®) in word sense disambiguation (WSD) using the Journal Descriptor Indexing (JDI) methodology. The motivation is the need to solve the ambiguity problem confronting NLM's MetaMap system, which maps free text to terms corresponding to concepts in NLM's Unified Medical Language System® (UMLS®) Metathesaurus®. If the text maps to more than one Metathesaurus concept at the same high confidence score, MetaMap has no way of knowing which concept is the correct mapping. We describe the JDI methodology, which is ultimately based on statistical associations between words in a training set of MEDLINE® citations and a small set of journal descriptors (assigned by humans to journals per se) assumed to be inherited by the citations. JDI is the basis for selecting the best meaning that is correlated to UMLS semantic types (STs) assigned to ambiguous concepts in the Metathesaurus. For example, the ambiguity transport has two meanings: “Biological Transport” assigned the ST Cell Function and “Patient transport” assigned the ST Health Care Activity. A JDI-based methodology can analyze text containing transport and determine which ST receives a higher score for that text, which then returns the associated meaning, presumed to apply to the ambiguity itself. We then present an experiment in which a baseline disambiguation method was compared to four versions of JDI in disambiguating 45 ambiguous strings from NLM's WSD Test Collection. Overall average precision for the highest-scoring JDI version was 0.7873 compared to 0.2492 for the baseline method, and average precision for individual ambiguities was greater than 0.90 for 23 of them (51%), greater than 0.85 for 24 (53%), and greater than 0.65 for 35 (79%). On the basis of these results, we hope to improve performance of JDI and test its use in applications. © 2006 Wiley Periodicals, Inc.