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» The Noisy Channel Model for Unsupervised Word Sense Disambig...
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EMNLP
2004
13 years 6 months ago
Unsupervised Domain Relevance Estimation for Word Sense Disambiguation
This paper presents Domain Relevance Estimation (DRE), a fully unsupervised text categorization technique based on the statistical estimation of the relevance of a text with respe...
Alfio Massimiliano Gliozzo, Bernardo Magnini, Carl...
AAAI
1998
13 years 6 months ago
Knowledge Lean Word-Sense Disambiguation
We present a corpus{based approach to word{sense disambiguation that only requires information that can be automatically extracted from untagged text. We use unsupervised techniqu...
Ted Pedersen, Rebecca F. Bruce
ACL
2004
13 years 6 months ago
Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models
We describe two probabilistic models for unsupervised word-sense disambiguation using parallel corpora. The first model, which we call the Sense model, builds on the work of Diab ...
Indrajit Bhattacharya, Lise Getoor, Yoshua Bengio
ICTAI
2009
IEEE
13 years 11 months ago
Large-Scale Dependency Knowledge Acquisition and its Extrinsic Evaluation Through Word Sense Disambiguation
Knowledge plays a central role in intelligent systems. Manual knowledge acquisition is very inefficient and expensive. In this paper, we present (1) an automatic method to acquire...
Ping Chen, Wei Ding 0003, Chris Bowes, David Brown
JUCS
2002
119views more  JUCS 2002»
13 years 4 months ago
Error-Correction, and Finite-Delay Decodability
: When the words of a language are communicated via a noisy channel, the language property of error-detection ensures that no word of the language can be transformed to another wor...
Stavros Konstantinidis