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Posted to dev@opennlp.apache.org by Mondher Bouazizi <mo...@gmail.com> on 2015/05/03 12:10:10 UTC
GSoC - Self introduction
Dear all,
I am Mondher Bouazizi, from Tunisia. I am a Master's student at Keio
University in Japan. My academic research is currently focusing on Data
Mining.
I am glad to inform you that my project proposal has been accepted for the
Google Summer of Code 2015. The proposal is to add a Word Sense
Disambiguation (WSD) component to the OpenNLP library.
The objective of WSD is to determine which sense of a word is meant in a
particular context. Different techniques are proposed in the academic
literature,but in general they fall mainly into two categories: Supervised
and Unsupervised. In my work I will design and build a WSD module that
implement the algorithms of common supervised techniques (e.g. Decision
Trees, Exemplar-Based or Instance-Based Learning, etc.) On the other hand,
my colleague Anthony, who got also accepted, will be working on the
unsupervised ones.
(For more details about the project, please check the issue I created here
<https://issues.apache.org/jira/browse/OPENNLP-757>)
I hope the work will make a good contribution to OpenNLP project and to the
open source community in general.
Yours sincerely,
Mondher Bouazizi
GSoC - Self introduction
Posted by Anthony Beylerian <an...@hotmail.com>.
Dear all,
I am Anthony from Lebanon. As my colleague Mondher previously mentioned, we have been accepted to work on OpenNLP as part of the GSoC 2015 program.
Similarly, I am also working on my Master's at Keio University and am fluent in three natural languages (English, Arabic, French) as well as conversational level in Japanese. My development background is mainly working on mobile and web applications and services, however I am currently also studying Data Mining.
As for the GSoC program, our task is to build a Word Sense Disambiguation module, as well as test/example implementations of algorithms for that purpose. We hope to build a flexible enough interface so that others can easily test and use WSD tools, as well as extend with their own implementations. Officially, we will start coding from May 25th up to August 24th. However, we have and are still surveying the different proposals in the literature as well as the contemporary approaches more closely, and will consequently propose a starting point for discussion.
If it is acceptable, we will later push updates to this list on our progress and would really appreciate your input and feedback.
Thank you for your time.
Anthony Beylerian
>
> Dear all,
>
> I am Mondher Bouazizi, from Tunisia. I am a Master's student at Keio
> University in Japan. My academic research is currently focusing on Data
> Mining.
>
> I am glad to inform you that my project proposal has been accepted for the
> Google Summer of Code 2015. The proposal is to add a Word Sense
> Disambiguation (WSD) component to the OpenNLP library.
>
> The objective of WSD is to determine which sense of a word is meant in a
> particular context. Different techniques are proposed in the academic
> literature,but in general they fall mainly into two categories: Supervised
> and Unsupervised. In my work I will design and build a WSD module that
> implement the algorithms of common supervised techniques (e.g. Decision
> Trees, Exemplar-Based or Instance-Based Learning, etc.) On the other hand,
> my colleague Anthony, who got also accepted, will be working on the
> unsupervised ones.
>
> (For more details about the project, please check the issue I created here
> <https://issues.apache.org/jira/browse/OPENNLP-757>)
>
> I hope the work will make a good contribution to OpenNLP project and to the
> open source community in general.
>
> Yours sincerely,
>
> Mondher Bouazizi