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» Taxonomy Learning Using Word Sense Induction
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NAACL
2010
9 years 3 months ago
Taxonomy Learning Using Word Sense Induction
Taxonomies are an important resource for a variety of Natural Language Processing (NLP) applications. Despite this, the current stateof-the-art methods in taxonomy learning have d...
Ioannis P. Klapaftis, Suresh Manandhar
NLP
2000
9 years 9 months ago
Learning Rules for Large-Vocabulary Word Sense Disambiguation: A Comparison of Various Classifiers
In this article we compare the performance of various machine learning algorithms on the task of constructing word-sense disambiguation rules from data. The distinguishing characte...
Georgios Paliouras, Vangelis Karkaletsis, Ion Andr...
EMNLP
2007
9 years 7 months ago
Learning to Merge Word Senses
It has been widely observed that different NLP applications require different sense granularities in order to best exploit word sense distinctions, and that for many applications ...
Rion Snow, Sushant Prakash, Daniel Jurafsky, Andre...
SIGIR
2009
ACM
10 years 3 days ago
Feature selection for automatic taxonomy induction
Most existing automatic taxonomy induction systems exploit one or more features to induce a taxonomy; nevertheless there is no systematic study examining which are the best featur...
Hui Yang, Jamie Callan
ITS
1998
Springer
95views Multimedia» more  ITS 1998»
9 years 9 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
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