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» Hierarchical Clustering of Words
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LKR
2008
15 years 24 days ago
Order Retrieval
Abstract. Extensive work has been done in recent years on automatically grouping words into categories. For example, {Wednesday, Monday, Tuesday} could be grouped into a `days of w...
Neil Rubens, Vera Sheinman, Takenobu Tokunaga, Mas...
NAACL
2003
15 years 22 days ago
Factored Language Models and Generalized Parallel Backoff
We introduce factored language models (FLMs) and generalized parallel backoff (GPB). An FLM represents words as bundles of features (e.g., morphological classes, stems, data-drive...
Jeff Bilmes, Katrin Kirchhoff
ERCIMDL
2010
Springer
142views Education» more  ERCIMDL 2010»
15 years 14 days ago
Effective Term Weighting for Sentence Retrieval
A well-known challenge of information retrieval is how to infer a user's underlying information need when the input query consists of only a few keywords. Question Answering (...
Saeedeh Momtazi, Matthew Lease, Dietrich Klakow
CRV
2011
IEEE
278views Robotics» more  CRV 2011»
13 years 11 months ago
Online Visual Vocabularies
Abstract—The idea of an online visual vocabulary is proposed. In contrast to the accepted strategy of generating vocabularies offline, using the k-means clustering over all the ...
Yogesh A. Girdhar, Gregory Dudek
SIGMOD
2004
ACM
150views Database» more  SIGMOD 2004»
15 years 11 months ago
When one Sample is not Enough: Improving Text Database Selection Using Shrinkage
Database selection is an important step when searching over large numbers of distributed text databases. The database selection task relies on statistical summaries of the databas...
Panagiotis G. Ipeirotis, Luis Gravano