[jira] [Updated] (OPENNLP-758) Unsupervised WSD techniques

["Anthony Beylerian (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/OPENNLP-758?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Anthony Beylerian updated OPENNLP-758:
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    Attachment: opennlp-tools-disambiguator.patch

Initial code drop, we changed the wordnet interface to extJWNL

> 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: 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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