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» Evaluating Ontology Cleaning
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ACL
2004
15 years 7 months ago
Relieving the data Acquisition Bottleneck in Word Sense Disambiguation
Supervised learning methods for WSD yield better performance than unsupervised methods. Yet the availability of clean training data for the former is still a severe challenge. In ...
Mona T. Diab
SPEECH
2008
57views more  SPEECH 2008»
15 years 6 months ago
A geometric approach to spectral subtraction
The traditional power spectral subtraction algorithm is computationally simple to implement but suffers from musical noise distortion. In addition, the subtractive rules are based...
Yang Lu, Philipos C. Loizou
VLDB
2002
ACM
110views Database» more  VLDB 2002»
15 years 5 months ago
Eliminating Fuzzy Duplicates in Data Warehouses
The duplicate elimination problem of detecting multiple tuples, which describe the same real world entity, is an important data cleaning problem. Previous domain independent solut...
Rohit Ananthakrishna, Surajit Chaudhuri, Venkatesh...
IEICET
2010
92views more  IEICET 2010»
15 years 4 months ago
Spectral Methods for Thesaurus Construction
Traditionally, popular synonym acquisition methods are based on the distributional hypothesis, and a metric such as Jaccard coefficients is used to evaluate the similarity between...
Nobuyuki Shimizu, Masashi Sugiyama, Hiroshi Nakaga...
ACL
2009
15 years 4 months ago
Paraphrase Identification as Probabilistic Quasi-Synchronous Recognition
We present a novel approach to deciding whether two sentences hold a paraphrase relationship. We employ a generative model that generates a paraphrase of a given sentence, and we ...
Dipanjan Das, Noah A. Smith