Improving the informativeness of verbose queries using summarization techniques for spoken document retrieval

Query-by-example information retrieval aims at helping users to find relevant documents accurately when users provide specific query exemplars describing what they are interested in. The query exemplars are usually long and in the form of either a partial or even a full document. However, they may c...

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Bibliographische Detailangaben

Hauptverfasser:	Shih-Hsiang Lin, Chen, Berlin, Ea-Ee Jan
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Estimation Hidden Markov models Information retrieval Machine learning query exemplar query-by-example Speech Speech recognition summarization technique Training verbose queries
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