[jira] [Commented] (OPENNLP-757) Supervised WSD techniques

["Aakarsh Agarwal (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/OPENNLP-757?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14327756#comment-14327756 ] 

Aakarsh Agarwal commented on OPENNLP-757:
-----------------------------------------

Hello,
I am Aakarsh Agarwal, currently pursuing B.Tech from IIT Roorkee in India. I hope to participate in GSoC this year and want to contribute to this project. This project seems interesting to me because I feel comfortable in coding in JAVA, though I also know C++.

The project seems very interesting as it mainly deals with machine learning and related algorithms. It would be a fun to code such algorithms. I am also going through wiki pages of some of these algorithms such as "Decision Trees" and "Naive Bayes". I just have one doubt if I will be required to code these algorithms from scratch in JAVA or use some existing code and work upon it.

I would like to hear from mentor how to get started and the probable challenges that needs to be fulfilled concerning this project. I am eagerly waiting for a positive reply very soon.
Regards
AAKARSH AGARWAL
IIT ROORKEE

> 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
>
> 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.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)