Hey everyone,
My name is Philipp, I'm from Germany and I'm happy to meet you guys! I
mostly do work in computational linguistics and NLP, so DBpedia was one of
the most interesting projects in GSoC this year for me. My main strengths
and/or interests are continuous space vector models, neural networks and
information retrieval.
A little bit about me: I'm just about finished with my undergrad studies in
Munich, and will start my masters next. Most recently, I was in Hong Kong
for my B.Sc. thesis, conducting research on semantic MT evaluation. I also
work at a local startup, building data mining and knowledge discovery
systems.
To be more specific about my interests for GSoC: I'm most interested in
tasks 5.15, 5.1, 5.9 and 5.12 (roughly in that order).
5.15 especially overlaps a lot with research I've been doing for my thesis,
where I investigated the performance of continuous space models such as
Word2Vec as a replacement for discrete context vectors, with very positive
results. I got very familiar with different vector models from this, and
would love to now continue working on something like this in a knowledge
mining context.
I also got exposed to frame semantics a little in the same context, and I'm
currently working on knowledge mining, so 5.1 would also be a very
interesting project.
I'll come back with more specific questions when I've gotten a chance to
look at everything else in detail, but overall I'm very excited to start
getting to work!
I'll get into some of the warm up tasks as soon as I get a chance. I
haven't worked with DBpedia much before, so it'll be interesting to dive
into the code base.
Cheers,
Philipp Dowling
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