1679 search results - page 2 / 336 » Learning Word Clusters from Data Types |
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
In most IR clustering problems, we directly cluster the documents, working in the document space, using cosine similarity between documents as the similarity measure. In many real...
EMNLP
2007
13 years 8 months ago
2007
It has been widely observed that different NLP applications require different sense granularities in order to best exploit word sense distinctions, and that for many applications ...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Each clustering algorithm induces a similarity between given data points, according to the underlying clustering criteria. Given the large number of available clustering technique...
ICDAR
2009
IEEE
13 years 5 months ago
2009
IEEE
We propose a new method for handwritten word-spotting which does not require prior training or gathering examples for querying. More precisely, a model is trained "on the fly...
NAACL
2004
13 years 8 months ago
2004
We present a technique for augmenting annotated training data with hierarchical word clusters that are automatically derived from a large unannotated corpus. Cluster membership is...