Indexing Spoken Documents with Hierarchical Semantic Structures : Semantic Tree-to-string Alignment Models

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TypeArticle
Proceedings titleProceedings of the 5th International Joint Conference on Natural Language Processing
ConferenceIJCNLP 2011 - 5th International Joint Conference on Natural Language Processing, Chiang Mai, Thailand, November 8-13, 2011, Chiang Mai, Thailand
Pages509517; # of pages: 9
AbstractThis paper addresses a semantic tree-to-string alignment problem: indexing spoken documents with known hierarchical semantic structures, with the goal to help index and access such archives. We propose and study a number of alignment models of different modeling capabilities and time complexities to provide a comprehensive understanding of these unsupervised models and hence the problem itself.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedYes
NPARC number19040610
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Record identifier6e1a4dbe-9072-44b1-8848-9794e1177dd4
Record created2011-12-07
Record modified2016-05-09
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