The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Structural Semantic Interconnections: A Knowledge-Based Approach to Word Sense Disambiguation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Word Sense Disambiguation: Algorithms and Applications (Text, Speech and Language Technology)
Word Sense Disambiguation: Algorithms and Applications (Text, Speech and Language Technology)
The use of domain-specific concepts in biomedical text summarization
Information Processing and Management: an International Journal
Abstraction summarization for managing the biomedical research literature
CLS '04 Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics
Personalizing PageRank for word sense disambiguation
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
LexRank: graph-based lexical centrality as salience in text summarization
Journal of Artificial Intelligence Research
Concept-graph based biomedical automatic summarization using ontologies
TextGraphs-3 Proceedings of the 3rd Textgraphs Workshop on Graph-Based Algorithms for Natural Language Processing
Summarization from medical documents: a survey
Artificial Intelligence in Medicine
Degree centrality for semantic abstraction summarization of therapeutic studies
Journal of Biomedical Informatics
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We describe a concept-based summarization system for biomedical documents and show that its performance can be improved using Word Sense Disambiguation. The system represents the documents as graphs formed from concepts and relations from the UMLS. A degree-based clustering algorithm is applied to these graphs to discover different themes or topics within the document. To create the graphs, the MetaMap program is used to map the text onto concepts in the UMLS Metathe-saurus. This paper shows that applying a graph-based Word Sense Disambiguation algorithm to the output of MetaMap improves the quality of the summaries that are generated.