Roberto Navigli

Multilinguality at Your Fingertips: BabelNet, Babelfy and Beyond!

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 3.0, available at http://babelnet.org, a very large multilingual encyclopedic dictionary and semantic network, which covers 271 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. BabelNet is available as linked data with almost 2 billion RDF triples.

Next, I will present Babelfy, available at http://babelfy.org, a unified approach that leverages BabelNet to jointly 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.

Finally in the last part of the talk I will describe how to leverage Babelfy to disambiguate and link arbitrary RDF resources to BabelNet, so as to populate the so-called Linguistic Linked Open Data cloud with an increasing number of resources.


Roberto NavigliSapienza University
Rome

Roberto Navigli

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.