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CICLING
2008
Springer
13 years 11 months ago
A Semantics-Enhanced Language Model for Unsupervised Word Sense Disambiguation
An N-gram language model aims at capturing statistical word order dependency information from corpora. Although the concept of language models has been applied extensively to handl...
Shou-de Lin, Karin Verspoor
TASLP
2008
98views more  TASLP 2008»
13 years 8 months ago
Unsupervised Single-Channel Music Source Separation by Average Harmonic Structure Modeling
Source separation of musical signals is an appealing but difficult problem, especially in the single-channel case. In this paper, an unsupervised single-channel music source separa...
Zhiyao Duan, Yungang Zhang, Changshui Zhang, Zhenw...
JSW
2007
133views more  JSW 2007»
13 years 8 months ago
New Functions for Unsupervised Asymmetrical Paraphrase Detection
Abstract— Monolingual text-to-text generation is an emerging research area in Natural Language Processing. One reason for the interest in such generation systems is the possibili...
João Cordeiro, Gaël Dias, Pavel Brazdi...
ICCV
2011
IEEE
12 years 9 months ago
Domain Adaptation for Object Recognition: An Unsupervised Approach
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we p...
Raghuraman Gopalan, Ruonan Li, Rama Chellappa
ACL
2004
13 years 10 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