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  1. B. Magnini; A. Cappelli; E. Pianta; M. Speranza; V. Bartalesi; R. Sprugnoli; L. Romano; C. Girardi; M. Negri,
    Annotazione di contenuti concettuali in un corpus italiano: I-CAB,
    IX Congresso Internazionale della Società di Linguistica e Filologia Italiana (SILFI 2006),
    2006
    , (IX Congresso Internazionale della Società di Linguistica e Filologia Italiana (SILFI 2006),
    Firenze, Italy,
    14/06/2006 - 17/06/2006)
  2. R. Delmonte; A. Bristot; M. A. Piccolino Boniforti; S. Tonelli,
    Another Evaluation of Anaphora Resolution Algorithms and a Comparison with GETARUNS` Knowledge Rich Approach,
    Proceedings of the 4th EACL Workshop on Robust Methods in Analysis of Natural Language Data (ROMAND 06),
    ACL,
    2006
    , pp. 3-
    10
    , (Proceedings of the 4th EACL Workshop on Robust Methods in Analysis of Natural Language Data (ROMAND 06),
    Trento, Italy,
    03/04/2006)
  3. B. Magnini; M. Negri; E. Pianta; L. Romano; M. Speranza; L. Serafini; C. Girardi; V. Bartalesi; R. Sprugnoli,
    From Text to Knowledge for the Semantic Web: the ONTOTEXT Project,
    Semantic Web Applications and Perspectives (SWAP 2005)2nd Italian Semantic Web Workshop,
    2005
    , (Semantic Web Applications and Perspectives (SWAP 2005)2nd Italian Semantic Web Workshop,
    Trento, Italy,
    14/12/2005 - 16/12/2005)
  4. 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),
    2005

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