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https://issues.apache.org/jira/browse/OPENNLP-758?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14604774#comment-14604774
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Anthony Beylerian commented on OPENNLP-758:
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Ok, actually Mondher uploaded a patch for his implementation on the other issue
OPENNLP-757, should we later commit directly to the sandbox ?
Currently checking how to organize the pre-processing to be as independent as
possible from the disambiguation algorithm.
Otherwise, the documentation will not take long, we will try to make patches
for that very soon.
> 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
> 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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