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Manuela Speranza

  • Phone: +39 0461 314521
  • FBK Povo
Short bio

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.

Research interests
corpus annotation evaluation methodologies computational lexicography
  1. A. Lavelli; B. Magnini; M. Negri; E. Pianta; M. Speranza; R. Sprugnoli,
    Italian Content Annotation Bank (I-CAB): Temporal Expressions (v. 1.0),
    This document reports on Temporal Expression annotation for the Italian Content Annotation Bank (I-CAB) being developed at ITC-irst. We describe the extensions to the English annotation guidelines that are required for Italian and provide a large number of examples and a detailed description of the benchmark. The benchmark is intended as a reference work both for the annotation methodology and for the automatic recognition and normalization of temporal expressions in Italian. This work is part of a larger effort aiming at the realization of an Entity-Relation annotated corpus for Italian. The long term goal is to produce a reference benchmark for Information Extraction tasks, including both entities (e.g. temporal expressions, persons, organizations and locations) and a number of relations among such entities (e.g. date of birth of a person),
  2. O. Mich; M. Speranza,
    A Photograph of the Gender Distribution in the Research Personnel at ITC-irst in 2004. What changes have occurred since 1990?,
    This report illustrates some statistics related to research personnel and gender at ITC-irst, the Center for Scientific and Technological research of ITC - Istituto Trentino di Cultura, Trento (Italy). After a short description of the organization of the institute and some methodological notes, the report presents the gender-disaggregated data of ITC-irst research personnel for the year 2004, separated per contract level, department and contract duration; changes occurred during the period 1990-2004 have also been highlighted, again on the basis of gender-disaggregated data. As a result of the analysis of the data, it has been found that in terms of absolute numbers, the presence of women researchers at ITC-irst has been considerably increasing since 1990. Indeed, at the end of 1990, women researchers at ITC-irst numbered only 13 (11%), reaching 65 (22%) by the end of 2004. On the other hand, the analysis shows that the situation has not changed with respect to contract levels, as the distribution of men and women still follows a clearly scissors-shaped trend. Finally, the analysis of the data for departments raises a question: are cultural and social aspects the only causes of the weak position of women inside the research field or could a gender-sensitive management positively influence the situation?,
  3. B. Magnini; L. Serafini; M. Speranza,
    Semantic Coordination for Document Retrieval,
    vol. 4,
    , pp. 18 -
  4. B. Magnini; M. Speranza; C. Girardi,
    A Semantic-Based Approach to Interoperability of Classification Hierarchies: Evaluation of Linguistic Techniques,
    20th International Conference on Computational Linguistics [COLING 2004],
    , pp. 1133-
    , (20th International Conference on Computational Linguistics [COLING 2004],
    Geneva, Switzerland,
  5. A. Roventini; Antonietta Alone; F. Bertagna; N. Calzolari; Jessica Cacila; Christian Girardi; Bernardo Magnini; R. Marinelli; Manuela Speranza; A. Zampolli,
    ItalWordNet: Building a Large Semantic Database for the Automatic Treatment of Italian,
    vol. XVIII-XIX,
    , pp. 745 -
  6. Bernardo Magnini; Luciano Serafini; Manuela Speranza,
    Workshop on Human Language Technology for Semantic Web and Web Services. Proceedings of the ISWC 2003 Workshop,
    , pp. 23-
    , (Workshop on Human Language Technology for Semantic Web and Web Services. Proceedings of the ISWC 2003 Workshop,
    Sanibel Island, USA,
  7. Bernardo Magnini; Luciano Serafini; Manuela Speranza,
    Making Explicit the Hidden Semantics of Hierarchical Classifications,
    AI*IA 2003: Advances in Artificial Intelligence, 8th Congress of the Italian Association for Artificial Intelligence,
    , pp. 436-
    , (AI*IA 2003: Advances in Artificial Intelligence, 8th Congress of the Italian Association for Artificial Intelligence,
    Pisa, Italy,
  8. Bernardo Magnini; Luciano Serafini; A. Donà; Laura Gatti; Christian Girardi; Manuela Speranza,
    Large-scale Evaluation of Context Matching,
    Context matching algorithms automatically discover semantic relations between two autonomously developed conceptual representations of two overlapping domains. Although significant work has been carried on the theoretical ground, the empirical evaluation of matching algoritms is still an open are for research. In this paper we introduce CtxMatch, a matching algorithm which applies to symbolic based conceptual representations organized as a hierarchy of concepts. Typical examples of such conceptualizations are electronic market catalogs (e.g., UNSPSC and eCl@ss) and web directories (e.g., Google and Yahoo!). Then, we report on different evaluation experiments, that have been carried out with two main purposes: we wanted to evaluate the \ctxmatch\ algorithm in real, large scale scenarios and to test different evaluation methodologies. Results are to be considered as a first contribution toward shared evaluation practices and resources for context matching algorithms,
  9. Bernardo Magnini; Luciano Serafini; Manuela Speranza,
    Making explicit the hidden semantics of hierarchical classifications,
    Hierarchical classifications are concept hierarchies used to organize large amounts of documents. File systems, products' taxonomies for the market place and the directories provided by Web portals are common examples of hierarchical classifications. As semi-structured knowledge sources, hierarchical classifications have peculiar features: they differ both from plain texts since they are based on a taxonomy of concepts, and from structured data sources (such as databases and formal ontologies), because many semantic relations are implicit. We propose a methodology for building a semantic interpretation of hierarchical classifications on the basis of the analysis of the taxonomic relations and the linguistic material they contain. We provide a formal semantics for hierarchical classifications and then we use that formal framework to interpret the implicit knowledge represented, by exploring a number of crucial linguistic issues. Relevant phenomena addressed include the disambiguation of polysemous words, the semantics of multiwords, and the interpretation of coordinations. The Web Directories of Google and Yahoo! have been chosen as an evaluation set. We show that there is a considerable amount of information to be made explicit and discuss the performance of an implementation of our analysis,
  10. Bernardo Magnini; Luciano Serafini; Manuela Speranza,
    Making Explicit the Semantics Hidden in Schema Models,