Hi,
I am Christopher Piemonte, i am currently studying for my master's degree
in Computer Science, in Bari, Italy. I am very passionate about my studies
and about Computer Science in general, with a little crush on machine
learning and functional programming. I like to code so I took every
occasion I had to get my hands dirty. All my projects are available on my
github <https://github.com/chrisPiemonte/> profile.
In my bachelor's thesis i worked, togehter with the LACAM
<http://lacam.di.uniba.it/> research group, on a project for the embedding
of the nodes in a web graph. The aim of the project was to build embeddings
of the nodes by generating random walks, and applying word embedding
algorithms (word2vec) to them, and then using the embeddings for clustering
purposes. The novelty was to combine information derived from the structure
of the graph with the textual information of the web pages.
-
Thesis doc is available here
<https://github.com/chrisPiemonte/bachelor-thesis> (but in italian)
-
Thesis code is available here <https://github.com/chrisPiemonte/url2vec>
-
Thesis work led to the pubblication of this paper
<https://link.springer.com/chapter/10.1007/978-3-319-60438-1_44>
In my master's studies i have taken courses on Data Mining, Computational
Intelligence, Distributed Systems, Semantic Web Technologies, Natural
Language Processing, Information Retrieval and Filtering (among others).
For an exam project (Semantic Web Technologies) i used the work I had done
in my thesis, to embed node in a RDF graph (code is available on github, graph
and randomWalk generator <https://github.com/chrisPiemonte/TripWalk> -
embedding
and kdd <https://github.com/chrisPiemonte/tapas>).
I would like to work on "DBpedia Embeddings for Out-Of_vocabulary Ressources"
or "Recurrent Neural Network Embedding for Knowledge-Base Completion" as i
will state in my proposal.
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