Daniele Vannella


2014

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Representing Multilingual Data as Linked Data: the Case of BabelNet 2.0
Maud Ehrmann | Francesco Cecconi | Daniele Vannella | John Philip McCrae | Philipp Cimiano | Roberto Navigli
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

Recent years have witnessed a surge in the amount of semantic information published on the Web. Indeed, the Web of Data, a subset of the Semantic Web, has been increasing steadily in both volume and variety, transforming the Web into a ‘global database’ in which resources are linked across sites. Linguistic fields – in a broad sense – have not been left behind, and we observe a similar trend with the growth of linguistic data collections on the so-called ‘Linguistic Linked Open Data (LLOD) cloud’. While both Semantic Web and Natural Language Processing communities can obviously take advantage of this growing and distributed linguistic knowledge base, they are today faced with a new challenge, i.e., that of facilitating multilingual access to the Web of data. In this paper we present the publication of BabelNet 2.0, a wide-coverage multilingual encyclopedic dictionary and ontology, as Linked Data. The conversion made use of lemon, a lexicon model for ontologies particularly well-suited for this enterprise. The result is an interlinked multilingual (lexical) resource which can not only be accessed on the LOD, but also be used to enrich existing datasets with linguistic information, or to support the process of mapping datasets across languages.

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Two Is Bigger (and Better) Than One: the Wikipedia Bitaxonomy Project
Tiziano Flati | Daniele Vannella | Tommaso Pasini | Roberto Navigli
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Validating and Extending Semantic Knowledge Bases using Video Games with a Purpose
Daniele Vannella | David Jurgens | Daniele Scarfini | Domenico Toscani | Roberto Navigli
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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WoSIT: A Word Sense Induction Toolkit for Search Result Clustering and Diversification
Daniele Vannella | Tiziano Flati | Roberto Navigli
Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations

2013

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SemEval-2013 Task 11: Word Sense Induction and Disambiguation within an End-User Application
Roberto Navigli | Daniele Vannella
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)

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SemEval-2013 Task 12: Multilingual Word Sense Disambiguation
Roberto Navigli | David Jurgens | Daniele Vannella
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)