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ACL
2000
13 years 10 months ago
Distribution-Based Pruning of Backoff Language Models
We propose a distribution-based pruning of n-gram backoff language models. Instead of the conventional approach of pruning n-grams that are infrequent in training data, we prune n...
Jianfeng Gao, Kai-Fu Lee
EMNLP
2010
13 years 7 months ago
Positional Language Models for Clinical Information Retrieval
The PECO framework is a knowledge representation for formulating clinical questions. Queries are decomposed into four aspects, which are Patient-Problem (P), Exposure (E), Compari...
Florian Boudin, Jian-Yun Nie, Martin Dawes
NAACL
1994
13 years 10 months ago
Statistical Language Processing Using Hidden Understanding Models
This paper introduces a class of statistical mechanisms, called hidden understanding models, for natural language processing. Much of the framework for hidden understanding models...
Scott Miller, Richard M. Schwartz, Robert J. Bobro...
ICASSP
2010
IEEE
13 years 9 months ago
Hierarchical language modeling for audio events detection in a sports game
We investigate the automatic labelling of “events” from an audio recording of a sports game. We describe a technique that utilises a hierarchy of language models, which are a ...
Qiang Huang, Stephen Cox
TNN
2008
177views more  TNN 2008»
13 years 9 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal