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I have been working at ITC-irst, now FBK, since 2000. First, I worked on the SI-TAL (Integrated System for the Automatic Treatment of Language) and on the Edamok projects. From 2004 2006 I worked on the Ontotext project. From 2007 to 2012 I worked on the projects Qall-me, LiveMemories and Meta-Net. More recently, I have worked on the European projects MateCat and NewsReader.
My main interests include evaluation methodologies (see NER 2007, Entity Recognition 2009, NER 2011, EVENTI 2014 and FactA 2016 at EVALITA and TimeLine: Cross-Document Event Ordering at SemEval-2015), entity annotation (see I-CAB), event, temporal information, and co-reference annotation (see the NewsReader MEANTIME corpus), event factuality and negation annotation (see Fact-Ita Bank), and computational lexicography (see MultiWordNet and WordNet Domains).
I was also involved in the overall organization of EVALITA 2007, EVALITA 2009 and EVALITA 2011.
Bernardo Magnini; Luciano Serafini; Manuela Speranza; S. Zanobini,CTXMATCH - A reference schema for Context Matching (V. 1.0),We introduce an application combining CBR and collaborative filtering techniques in the music domain. We describe a scenario in which a new kind of recommendation is required suitable to summarize in one suggestion many recommendations. Our claim is that to recommend a set of goods is different from recommending many times a single good. The paper illustrates how a case-based reasoning approach can provide an effective solution to this problem reducing the drawbacks related to the user profiles. CoCoA, a compilation compiler advisor, will be described as a running example of a collaborative case-based recommendation system,2002
Bernardo Magnini; Luciano Serafini; Manuela Speranza,Making Hidden Semantics of Hierarchical Classifications Explicit,Concept hierarchies are semi-structured knowledge repositories used for organizing large amounts of documents. File systems, products taxonomies for the market place and the directories provided by Web portals are common examples of concept hierarchies. We take the perspective in which such knowledge sources are inherently distributed and we address the problem of allowing their interoperability. In this paper first we provide a formal semantics for concept hierarchies and then we use that formal framework to explore a number of linguistic issues crucial for interpreting the implicit knowledge represented there. Relevant phenomena addressed include word sense disambiguation WORDNET(r) has been used as sense repository), the explicitation of multiwords' semantics and the interpretation of coordinations. The Web directories of Google and Yahoo has been considered for a number of case studies,2002
Bernardo Magnini; Manuela Speranza,Integrating Generic and Specialized Wordnets,RANLP 2001 - Recent advances in Natural Language Processing,2001, pp. 149-153, (RANLP 2001 - Recent advances in Natural Language Processing,Tzigov Chark, Bulgaria,05/09/2001 - 07/09/2001)
Bernardo Magnini; Manuela Speranza,A Plug-in Approach for an Integrated Consultation of Generic and Specialized Wordnets,Although generic (i.e. domain independent) and specialized (i.e. domain specific) lexical resources are usually developed with different aims, an integrated consultation of the two resources would be useful for many practical purposes. We describe a plug-in approach which takes into account our intuitions about an integrated consultation. The model is based on the definition of plug-in relations that are established to consider possible overlapping and inconsistencies between the two resources. As a consequence, the inheritance of linguistic oriented information makes the specialized resources usable in existing wordnet based applications. The approach has been experimented connecting ItalWordNet, a generic lexical database, and Economic-WordNet, a specialized wordnet for the economic and financial domain,2001
J. Cancila; R. Marinelli; A. Zampolli; Bernardo Magnini; Christian Girardi; Manuela Speranza,ItalWordNet: a large semantic database for the automatic treatment of the Italian language,Questo articolo descrive le caratteristiche principali della base di dati semantica ItalWordNet,in via di sviluppo nell`ambito di un progetto nazionale italiano, SI-TAL, il cui scopo è quello di realizzare un insieme di risorse e tools integrati (compatibili) per il trattamento automatico della lingua italiana scritta e parlata. All`interno di SI-TAL, ItalWordNet sarà la risorsa lessicale di riferimento, contenente informazioni semantiche in relazione a circa 130.000 sensi di parole raggrepati in synset e collegati all`inglese per mezzo di relazioni `di equivalenza` con synset di una versione non strutturata del WordNet elaborato da George Miller e i suoi collaboratori di Princeton,2000