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» Word-Sense Disambiguation Using Decomposable Models
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COLING
2002
13 years 8 months ago
A Maximum Entropy-based Word Sense Disambiguation System
In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowl...
Armando Suárez, Manuel Palomar
EMNLP
2004
13 years 10 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
2011
12 years 8 months ago
A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task
Effective access to knowledge within large declarative memory stores is one challenge in the development and understanding of long-living, generally intelligent agents. We focus o...
Nate Derbinsky, John E. Laird
CORR
2000
Springer
78views Education» more  CORR 2000»
13 years 8 months ago
One Sense per Collocation and Genre/Topic Variations
This paper revisits the one sense per collocation hypothesis using fine-grained sense distinctions and two different corpora. We show that the hypothesis is weaker for fine-graine...
David Martínez, Eneko Agirre
ACL
2006
13 years 10 months ago
A Hybrid Relational Approach for WSD - First Results
We present a novel hybrid approach for Word Sense Disambiguation (WSD) which makes use of a relational formalism to represent instances and background knowledge. It is built using...
Lucia Specia