Mondher Bouazizi created OPENNLP-758:
----------------------------------------
Summary: Unsupervised WSD techniques
Key: OPENNLP-758
URL: https://issues.apache.org/jira/browse/OPENNLP-758
Project: OpenNLP
Issue Type: New Feature
Components: POS Tagger, Sentence Detector, Stemmer
Reporter: Mondher Bouazizi
The objective of Word Sense Disambiguation (WSD) is to determine which sense of
a word is meant in a particular context. Therefore, WSD is a classification
task, where the classes are the different senses of the ambiguous word.
Different techniques are proposed in the academic literature, which fall mainly
into two categories: Supervised and Unsupervised.
For this component, we focus on unsupervised techniques: these methods are
based on unlabeled data, and do not exploit any manually tagged data.
The object of this project is to create a WSD solution (for English) that
implements some unsupervised techniques. For example:
Context Clustering
Word Clustering
Cooccurrence Graphs
Overlap of Sense Definitions
Selectional Preferences
Structural Approaches
Etc.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
