On term selection for query expansion
Journal of Documentation
Evaluation of model-based retrieval effectiveness with OCR text
ACM Transactions on Information Systems (TOIS)
Retrieving spoken documents by combining multiple index sources
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
New techniques for open-vocabulary spoken document retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Applying summarization techniques for term selection in relevance feedback
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
The TREC-5 Confusion Track: Comparing Retrieval Methods for Scanned Text
Information Retrieval
Information Retrieval can Cope with Many Errors
Information Retrieval
Mixing and Merging for Spoken Document Retrieval
ECDL '98 Proceedings of the Second European Conference on Research and Advanced Technology for Digital Libraries
Information Processing and Management: an International Journal
Developing a holistic model for digital library evaluation
Journal of the American Society for Information Science and Technology
Information Processing and Management: an International Journal
Search of spoken documents retrieves well recognized transcripts
ECIR'07 Proceedings of the 29th European conference on IR research
Using string comparison in context for improved relevance feedback in different text media
SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
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Digital document archives are increasingly derived from various different media sources. At present such archives are stored and searched independently. The Information Retrieval from Mixed-Media Collections (IRMMC) project is investigating retrieval from combined document collections composed of items originating from differing media forms. Experimentalin vestigation of a "mixed-media" retrieval task based on the existing TREC Spoken Document Retrievaltask combining Text, Spoken and Scanned Image is described. Results show that nontext media perform well within the mixed-media collection. Also while pseudo relevance feedback is extremely effective for spoken documents, its behaviour for document image retrievalis more complex.