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SIGIR
2002
ACM
13 years 7 months ago
Risk minimization and language modeling in text retrieval dissertation abstract
tion Abstract ChengXiang Zhai (Advisor: John Lafferty) Language Technologies Institute School of Computer Science Carnegie Mellon University With the dramatic increase in online in...
ChengXiang Zhai
ICASSP
2009
IEEE
14 years 2 months ago
Unsupervised acoustic and language model training with small amounts of labelled data
We measure the effects of a weak language model, estimated from as little as 100k words of text, on unsupervised acoustic model training and then explore the best method of using ...
Scott Novotney, Richard M. Schwartz, Jeff Ma
SIGIR
2002
ACM
13 years 7 months ago
Two-stage language models for information retrieval
The optimal settings of retrieval parameters often depend on both the document collection and the query, and are usually found through empirical tuning. In this paper, we propose ...
ChengXiang Zhai, John D. Lafferty
BMCBI
2007
107views more  BMCBI 2007»
13 years 7 months ago
antiCODE: a natural sense-antisense transcripts database
Background: Natural antisense transcripts (NATs) are endogenous RNA molecules that exhibit partial or complete complementarity to other RNAs, and that may contribute to the regula...
Yifei Yin, Yi Zhao, Jie Wang, Changning Liu, Shugu...
ICASSP
2008
IEEE
14 years 2 months ago
Confidence scores for acoustic model adaptation
This paper focuses on confidence scores for use in acoustic model adaptation. Frame-based confidence estimates are used in linear transform (CMLLR and MLLR) and MAP adaptation. ...
Christian Gollan, Michiel Bacchiani