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https://issues.apache.org/jira/browse/OPENNLP-758?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14609834#comment-14609834
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Joern Kottmann commented on OPENNLP-758:
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Please open a separate issue for the evaluator. That will help us to focus on
it, otherwise the comments here will be mixed and that makes it hard to later
understand why things where done in a specific way.
> Unsupervised WSD techniques
> ---------------------------
>
> Key: OPENNLP-758
> URL: https://issues.apache.org/jira/browse/OPENNLP-758
> Project: OpenNLP
> Issue Type: New Feature
> Components: wsd
> Reporter: Mondher Bouazizi
> Labels: gsoc, gsoc2015, java, nlp, wsd
> Attachments: lesk_parameters.patch, opennlp-tools-disambiguator.patch
>
>
> 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.
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