Brown clustering

Known as: Brown algorithm, Class-based language model 
Brown clustering is a hard hierarchical agglomerative clustering problem based on distributional information. It is typically applied to text… (More)
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Topic mentions per year

Topic mentions per year

1979-2016
024619792016

Papers overview

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2016
2016
Brown clustering is an established technique, used in hundreds of computational linguistics papers each year, to group word types… (More)
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2015
2015
Brown clustering, an unsupervised hierarchical clustering technique based on ngram mutual information, has proven useful in many… (More)
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2015
2015
This paper presents the system we developed for the CHEMDNER task of BioCreative V. This system was adapted from the IICE… (More)
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2014
2014
We present an effective modification of the popular Brown et al. 1992 word clustering algorithm, using a dependency language… (More)
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2013
2013
The recurrent neural network language model (RNNLM) has shown significant promise for statistical language modeling. In this work… (More)
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2006
2006
This paper presents two word segmentation (WS) systems and a named entity recognition (NER) system in France Telecom R&D Beijing… (More)
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2002
2002
  • Jean a mang
  • 2002
In this paper, we describe a fast algorithm for aligning sentences with their translations in a bilingual corpus. Existing… (More)
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Highly Cited
2000
Highly Cited
2000
  • Daniel Br61az
  • 2000
subroutines, Suppl. 2, 1973; AERE-R-7477, Suppl. 2, August 1977. 16. IMSL Library 1, Ed. 6. Houston, Texas. 17. Kowalik, J., and… (More)
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2000
2000
This paper describes the use of a weighted mixture of classbased n-gram language models to perform topic adaptation. By using a… (More)
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Highly Cited
1979
Highly Cited
1979
This paper describes efficient new heuristic methods to color the vertices of a graph which rely upon the comparison of the… (More)
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