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» Bayesian Word Sense Induction
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EMNLP
2006
13 years 8 months ago
Two graph-based algorithms for state-of-the-art WSD
This paper explores the use of two graph algorithms for unsupervised induction and tagging of nominal word senses based on corpora. Our main contribution is the optimization of th...
Eneko Agirre, David Martínez, Oier Lopez de...
ITS
1998
Springer
95views Multimedia» more  ITS 1998»
13 years 11 months ago
Using Induction to Generate Feedback in Simulation Based Discovery Learning Environments
This paper describes a method for learner modelling for use within simulation-based learning environments. The goal of the learner modelling system is to provide the learner with a...
Koen Veermans, Wouter R. van Joolingen
ACL
2006
13 years 8 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
ISICT
2003
13 years 8 months ago
Tag semantics for the retrieval of XML documents
Word Sense Disambiguation (WSD), in the field of Natural Language Processing (NLP), consists in assigning the correct sense (semantics) to a word form (lexeme) by means of the cont...
Davide Buscaldi, Giovanna Guerrini, Marco Mesiti, ...
ACL
2011
12 years 11 months ago
Which Noun Phrases Denote Which Concepts?
Resolving polysemy and synonymy is required for high-quality information extraction. We present ConceptResolver, a component for the Never-Ending Language Learner (NELL) (Carlson ...
Jayant Krishnamurthy, Tom Mitchell