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» Content-based language models for spoken document retrieval
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ICMCS
2007
IEEE
130views Multimedia» more  ICMCS 2007»
14 years 18 days ago
Word Topical Mixture Models for Extractive Spoken Document Summarization
This paper considers extractive summarization of Chinese spoken documents. In contrast to conventional approaches, we attempt to deal with the extractive summarization problem und...
Berlin Chen, Yi-Ting Chen
CLEF
2004
Springer
13 years 11 months ago
University of Chicago at CLEF2004: Cross-Language Text and Spoken Document Retrieval
The University of Chicago participated in the Cross-Language Evaluation Forum 2004 (CLEF2004) cross-language multilingual, bilingual, and spoken language tracks. Cross-language exp...
Gina-Anne Levow, Irina Matveeva
WIAMIS
2009
IEEE
14 years 1 months ago
Automatic topic detection strategy for information retrieval in spoken document
This paper suggests an alternative solution for the task of spoken document retrieval (SDR). The proposed system runs retrieval on multi-level transcriptions (word and phone) prod...
Shan Jin, Hemant Misra, Thomas Sikora, Joemon M. J...
IR
2000
13 years 6 months ago
New Approaches to Spoken Document Retrieval
This paper presents four novel techniques for open-vocabulary spoken document retrieval: a method to detect slots that possibly contain a query feature; a method to estimate occurr...
Martin Wechsler, Eugen Munteanu, Peter Schäub...
CLEF
2004
Springer
13 years 11 months ago
CLEF 2004 Cross-Language Spoken Document Retrieval Track
This is a summary report about the Cross-Language Spoken Document Retrieval Track held at CLEF 2004. The report gives brief details of CL-SDR task based again this year on the TRE...
Marcello Federico, Nicola Bertoldi, Gina-Anne Levo...