Hallo all,
I’m Prashanth and I’m a Master’s student at the Technische Universität
München(TUM). I’m working on Machine Learning, Deep Learning, NLP and a bit of
Robotics.
I’ve been a long term admirer of DBPedia and the idea of linked data in general
for quite sometime now.
What I’ve done:
I used DBPedia’s sparql end point in 2 of my projects,
1. Pragyan:A question answering engine [1]: Tech: Java, Stanford NLP parser,
Dataset from DBPedia, RDF, OWL, JenaFramework, Python Django(for the frontend)
Code: https://github.com/Cookielabs/pragyan/tree/master/backend
<https://github.com/Cookielabs/pragyan/tree/master/backend>
2. Roboy, a student robot team: The robot uses DBpedia to answer factual
questions! (A team from TUM) [2]:
https://github.com/Roboy/roboy_dialog/tree/master/src/main/java/roboy/memory
<https://github.com/Roboy/roboy_dialog/tree/master/src/main/java/roboy/memory>
I’m particularly interested in the idea of using a "A Neural QA Model for
DBpedia”, as in both my projects I tried to parse the sentence and construct
the Spaql query by myself, but that was close to 4 years ago and I wasn’t
actively working on DL then.
The work done by NSpM team seems to solve exactly that, and I would love to
contribute towards that.
Being a user of DBpedia until now, I think GSOC would be a nice opportunity for
me to start contributing to DBpedia and hence give back what I took from the
community :)
Also, I’ve started working on the warmup tasks.
Looking forward to a warm summer.
Best regards,
Prashanth Swaminathan.
https://byteofprash.github.io <https://byteofprash.github.io/>
[1]: More about the project: https://byteofprash.github.io
<https://byteofprash.github.io/>
[2]: More about Roboy(https://roboy.org <https://roboy.org/>)
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