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ICASSP
2009
IEEE
14 years 2 months ago
Exploiting user feedback for language model adaptation in meeting recognition
We investigate language model (LM) adaptation in a meeting recognition application, where the LM is adapted based on recognition output from relevant prior meetings and partial ma...
Dimitra Vergyri, Andreas Stolcke, Gökhan T&uu...
TREC
2003
13 years 8 months ago
Improving the Robustness of Language Models - UIUC TREC 2003 Robust and Genomics Experiments
In this paper, we report our experiments in the TREC 2003 Genomics Track and the Robust Track. A common theme that we explored is the robustness of a basic language modeling retri...
ChengXiang Zhai, Tao Tao, Hui Fang, Zhidi Shang
SIGIR
2004
ACM
14 years 26 days ago
A two-stage mixture model for pseudo feedback
Pseudo feedback is a commonly used technique to improve information retrieval performance. It assumes a few top-ranked documents to be relevant, and learns from them to improve th...
Tao Tao, ChengXiang Zhai
CIKM
2010
Springer
13 years 6 months ago
Fast query expansion using approximations of relevance models
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...
Marc-Allen Cartright, James Allan, Victor Lavrenko...
TASLP
2008
108views more  TASLP 2008»
13 years 7 months ago
An Online Relevant Set Algorithm for Statistical Machine Translation
This paper presents a novel online relevant set algorithm for a linearly-scored block sequence translation model. The key component is a new procedure to directly optimize the glob...
Christoph Tillmann, Tong Zhang