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AIRS
2006
Springer
15 years 7 months ago
Word Sense Language Model for Information Retrieval
This paper proposes a word sense language model based method for information retrieval. This method, differing from most of traditional ones, combines word senses defined in a thes...
Liqi Gao, Yu Zhang, Ting Liu, Guiping Liu
CICLING
2008
Springer
15 years 5 months ago
A Semantics-Enhanced Language Model for Unsupervised Word Sense Disambiguation
An N-gram language model aims at capturing statistical word order dependency information from corpora. Although the concept of language models has been applied extensively to handl...
Shou-de Lin, Karin Verspoor
112
Voted
LREC
2010
155views Education» more  LREC 2010»
15 years 4 months ago
Efficient Minimal Perfect Hash Language Models
The recent availability of large collections of text such as the Google 1T 5-gram corpus (Brants and Franz, 2006) and the Gigaword corpus of newswire (Graff, 2003) have made it po...
David Guthrie, Mark Hepple, Wei Liu
134
Voted
ICASSP
2009
IEEE
15 years 10 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
NIPS
2004
15 years 4 months ago
Hierarchical Distributed Representations for Statistical Language Modeling
Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
John Blitzer, Kilian Q. Weinberger, Lawrence K. Sa...