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110
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ECIR
2008
Springer
15 years 4 months ago
Probabilistic Document Length Priors for Language Models
This paper addresses the issue of devising a new document prior for the language modeling (LM) approach for Information Retrieval. The prior is based on term statistics, derived in...
Roi Blanco, Alvaro Barreiro
99
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Vocabulary and language model adaptation using just one speech file
This paper investigates unsupervised vocabulary and language model self-adaptation (VLA) from just one speech file using the web as a knowledge source and without prior knowledge...
Sha Meng, Kishan Thambiratnam, Yimeng Lin, Lifang ...
109
Voted
CSSE
2004
IEEE
15 years 2 months ago
A comparison of modeling strategies in defining XML-based access control languages
One of the most important features of XML-based Web services is that they can be easily accessed over the Internet, but this makes them vulnerable to a series of security threats....
Claudio Agostino Ardagna, Sabrina De Capitani di V...
148
Voted
NIPS
2000
15 years 4 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...
115
Voted
ESANN
2008
15 years 4 months ago
Improving a statistical language model by modulating the effects of context words
We show how to improve a state-of-the-art neural network language model that converts the previous "context" words into feature vectors and combines these feature vectors...
Zhang Yuecheng, Andriy Mnih, Geoffrey E. Hinton