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» Combining Multiple Models for Speech Information Retrieval
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INEX
2009
Springer
15 years 4 months ago
Combining Term-Based and Category-Based Representations for Entity Search
We describe our participation in the INEX 2009 Entity Ranking track. We employ a probabilistic retrieval model for entity search in which term-based and category-based representati...
Krisztian Balog, Marc Bron, Maarten de Rijke, Wout...
112
Voted
LREC
2010
173views Education» more  LREC 2010»
15 years 1 months ago
Language Modeling Approach for Retrieving Passages in Lecture Audio Data
Spoken Document Retrieval (SDR) is a promising technology for enhancing the utility of spoken materials. After the spoken documents have been transcribed by using a Large Vocabula...
Koichiro Honda, Tomoyosi Akiba
75
Voted
SIGIR
2009
ACM
15 years 6 months ago
Reciprocal rank fusion outperforms condorcet and individual rank learning methods
Reciprocal Rank Fusion (RRF), a simple method for combining the document rankings from multiple IR systems, consistently yields better results than any individual system, and bett...
Gordon V. Cormack, Charles L. A. Clarke, Stefan B&...
IRI
2008
IEEE
15 years 6 months ago
Robust integration of multiple information sources by view completion
There are many applications where multiple data sources, each with its own features, are integrated in order to perform an inference task in an optimal way. Researchers have shown...
Shankara B. Subramanya, Baoxin Li, Huan Liu
ICASSP
2011
IEEE
14 years 3 months ago
On the use of ideal binary masks for improving phonetic classification
Ideal binary masks are binary patterns that encode the masking characteristics of speech in noise. Recent evidence in speech perception suggests that such binary patterns provide ...
Arun Narayanan, DeLiang Wang