Seminaire: Roberto Navigli, 13 octobre 2014, Universite Paris 13

[Thierry Hamon]

Date: Wed, 8 Oct 2014 16:50:24 +0200
From: Aldo Gangemi <aldo.gangemi at gmail.com>
Message-Id: <E4C428F9-F826-45F1-9C24-8CF1D6A99A0F at lipn.univ-paris13.fr>
X-url: http://wwwusers.di.uniroma1.it/~navigli/


Chers collègues

dans le cadre de l'opération IA2 (Multilingual Semantic Web Machine
Reading ) du labex EFL (axe 5),

Roberto Navigli
Università di Roma La Sapienza
http://wwwusers.di.uniroma1.it/~navigli/

fera une présentation le lundi 13 octobre de 14h à 16h (suivie par un
pot),
Salle B107,  bâtiment B, Institut Galilée
Université Paris 13, 99 avenue Jean-Baptiste Clément, Villetaneuse

Title: (Digital) goodies from the ERC Wishing Well: BabelNet, Babelfy,
video games with a purpose and the Wikipedia bitaxonomy

Abstract

Multilinguality is a key feature of today’s Web, and it is this feature
that we leverage and exploit in our research work at the Sapienza
University of Rome’s Linguistic Computing Laboratory, which I am going
to overview and showcase in this talk.

I will start by presenting BabelNet 2.5 (http://babelnet.org), a very
large multilingual encyclopedic dictionary and semantic network, which
covers 50 languages and provides both lexicographic and encyclopedic
knowledge for all the open-class parts of speech, thanks to the seamless
integration of WordNet, Wikipedia, Wiktionary, OmegaWiki, Wikidata and
the Open Multilingual WordNet.

Next, I will present Babelfy (http://babelfy.org), a unified approach
that leverages BabelNet to perform word sense disambiguation and entity
linking in arbitrary languages, with performance on both tasks on a par
with, or surpassing, those of task-specific state-of-the-art supervised
systems.

In the third part of the talk I will present two approaches to
large-scale knowledge acquisition and validation: video games with a
purpose, a novel, powerful paradigm for the large scale acquisition and
validation of knowledge and data, and WiBi (http://wibitaxonomy.org),
our approach to the construction of a Wikipedia bitaxonomy, that is, the
largest and most accurate currently available taxonomy of Wikipedia
pages and a taxonomy of categories, aligned to each other.

Bio:

Roberto Navigli is an Associate Professor in the Department of Computer
Science of the Sapienza University of Rome. He was awarded the Marco
Cadoli 2007 AI*IA Prize for the best doctoral thesis in Artificial
Intelligence and the Marco Somalvico 2013 AI*IA Prize for the best young
researcher in AI. He is the recipient of an ERC Starting Grant in
computer science and informatics on multilingual word sense
disambiguation (2011-2016) and a co-PI of a Google Focused Research
Award on Natural Language Understanding.
His research lies in the field of Natural Language Processing (including
word sense disambiguation and induction, ontology learning from scratch,
large-scale knowledge acquisition, open information extraction and
relation extraction).
He has served as an area chair of ACL, WWW, and *SEM, and a senior
program committee member of IJCAI. Currently he is an Associate Editor
of the Artificial Intelligence Journal, a member of the editorial board
of the Journal of Natural Language Engineering, a guest editor of the
Journal of Web Semantics, and a former editorial board member of
Computational Linguistics.

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