Brown clustering, an unsupervised hier- archical clustering technique based on n- gram mutual information, has proven use- ful in many NLP applications.
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A subtle but profound generalisation of Brown clustering is presented to improve the overall quality by decoupling the number of output classes from the ...
Sep 7, 2015 · Brown clustering, an unsupervised hierarchical clustering technique based on ngram mutual information, has proven useful in many NLP ...
Abstract. Brown clustering, an unsupervised hierarchical clustering technique based on ngram mutual information, has proven useful in many NLP applications.
Bibliographic details on Tune Your Brown Clustering, Please.
Tune Your Brown Clustering, Please. Leon Derczynski, Sean Chester, Kenneth Sejdenfaden Bøgh. Department of Computer Science. Research output: Contribution to ...
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Brown clustering is a hard hierarchical agglomerative clustering problem based on distributional information proposed by Peter Brown
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Binary tree. [binary tree] In computer science, a binary tree is a tree data structure in which each node has at most two children, which are referred to as the ...
Brown clustering, an unsupervised hierarchical clustering technique based on ngram mutual information, has proven useful in many NLP applications.
In this paper, we present a subtle but profound generalisation of Brown clustering to improve the overall quality by decou- pling the number of output classes ...