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Posted to issues@opennlp.apache.org by "Mondher Bouazizi (JIRA)" <ji...@apache.org> on 2015/06/29 16:10:05 UTC

[jira] [Comment Edited] (OPENNLP-757) Supervised WSD techniques

    [ https://issues.apache.org/jira/browse/OPENNLP-757?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14605640#comment-14605640 ] 

Mondher Bouazizi edited comment on OPENNLP-757 at 6/29/15 2:09 PM:
-------------------------------------------------------------------

added the headers and fixed some issues, please try it
note that the .bin model files and lemmatizer.dict need to be added in the folder:
================
src/test/resources/models
================
en-chunker.bin
en-lemmatizer.dict
en-pos-maxent.bin
en-sent.bin
en-token.bin


was (Author: mondher):
added the headers and fixed some issues, please try it

> Supervised WSD techniques
> -------------------------
>
>                 Key: OPENNLP-757
>                 URL: https://issues.apache.org/jira/browse/OPENNLP-757
>             Project: OpenNLP
>          Issue Type: New Feature
>          Components: Machine Learning, POS Tagger, Sentence Detector, Stemmer
>            Reporter: Mondher Bouazizi
>              Labels: gsoc, gsoc2015, java, nlp, wsd
>         Attachments: opennlp-wsd-supervised.patch, sup.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 supervised techniques: these approaches use machine-learning techniques to learn a classifier from labeled training sets.
> The object of this project is to create a WSD solution (for English) that implements some supervised techniques. For example:
> - Decision Lists
> - Decision Trees
> - Naive Bayes
> - Neural Networks
> - Exemplar-Based or Instance-Based Learning
> - Support Vector Machines
> - Ensemble Methods
> - Semi-supervised Disambiguation
> - Etc.



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