139 search results - page 1 / 28 » Taxonomy Learning Using Word Sense Induction |
NAACL
2010
13 years 2 months ago
2010
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...
NLP
2000
13 years 8 months ago
2000
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...
EMNLP
2007
13 years 6 months ago
2007
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 ...
SIGIR
2009
ACM
13 years 11 months ago
2009
ACM
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...
ITS
1998
Springer
13 years 8 months ago
1998
Springer
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...