Evaluation of Natural Language and Speech Tools for Italian

International Workshop, EVALITA 2011, Rome, January 24-25, 2012, Revised Selected Papers

  • Bernardo Magnini
  • Francesco Cutugno
  • Mauro Falcone
  • Emanuele Pianta
Conference proceedings

DOI: 10.1007/978-3-642-35828-9

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7689)

Table of contents (36 papers)

  1. Front Matter
  2. Parsing - Dependency Parsing Track

    1. The EVALITA Dependency Parsing Task: From 2007 to 2011
      Cristina Bosco, Alessandro Mazzei
      Pages 1-12
    2. Parsit at Evalita 2011 Dependency Parsing Task
      Matteo Grella, Marco Nicola
      Pages 21-29
    3. Tuning DeSR for Dependency Parsing of Italian
      Giuseppe Attardi, Maria Simi, Andrea Zanelli
      Pages 37-45
  3. Parsing - Constituency Parsing Track

    1. Looking Back to the EVALITA Constituency Parsing Task: 2007-2011
      Cristina Bosco, Alessandro Mazzei, Alberto Lavelli
      Pages 46-57
  4. Domain Adaptation for Dependency Parsing

    1. Domain Adaptation for Dependency Parsing at Evalita 2011
      Felice Dell’Orletta, Simone Marchi, Simonetta Montemagni, Giulia Venturi, Tommaso Agnoloni, Enrico Francesconi
      Pages 58-69
    2. Domain Adaptation by Active Learning
      Giuseppe Attardi, Maria Simi, Andrea Zanelli
      Pages 77-85
  5. Named Entity Recognition on Transcribed Broadcast News

    1. Named Entity Recognition on Transcribed Broadcast News at EVALITA 2011
      Valentina Bartalesi Lenzi, Manuela Speranza, Rachele Sprugnoli
      Pages 86-97
    2. The Tanl Tagger for Named Entity Recognition on Transcribed Broadcast News at Evalita 2011
      Giuseppe Attardi, Giacomo Berardi, Stefano Dei Rossi, Maria Simi
      Pages 116-125
  6. Cross-Document Coreference Resolution of Named Person Entities

    1. Exploiting Background Knowledge for Clustering Person Names
      Roberto Zanoli, Francesco Corcoglioniti, Christian Girardi
      Pages 135-145
  7. Anaphora Resolution

    1. Evalita 2011: Anaphora Resolution Task
      Olga Uryupina, Massimo Poesio
      Pages 146-155
    2. UNIPI Participation in the Evalita 2011 Anaphora Resolution Task
      Giuseppe Attardi, Stefano Dei Rossi, Maria Simi
      Pages 156-165
  8. SuperSense Tagging

    1. Description and Results of the SuperSense Tagging Task
      Stefano Dei Rossi, Giulia Di Pietro, Maria Simi
      Pages 166-175

About these proceedings


EVALITA (http://www.evalita.it/) is the reference evaluation campaign of both Natural Language Processing and Speech Technologies for the Italian language. The objective of the shared tasks proposed at EVALITA is to promote the development of language technologies for Italian, providing a common framework where different systems and approaches can be evaluated and compared in a consistent manner. This volume collects the final and extended contributions presented at EVALITA 2011, the third edition of the evaluation campaign. The 36 revised full papers were carefully reviewed and selected from a total of 87 submissions. The papers are organized in topical sections roughly corresponding to evaluation tasks: parsing - dependency parsing track, parsing - constituency parsing track, domain adaptation for dependency parsing, named entity recognition on transcribed broadcast news, cross-document coreference resolution of named person entities, anaphora resolution, supersense tagging, frame labeling over italian texts, lemmatisation, automatic speech recognition - large vocabulary transcription, forced alignment on spontaneous speech.


Italian language active learning semantic information social Web speech recognition

Editors and affiliations

  • Bernardo Magnini
    • 1
  • Francesco Cutugno
    • 2
  • Mauro Falcone
    • 3
  • Emanuele Pianta
    • 4
  1. 1.Fondazione Bruno KesslerPovoItaly
  2. 2.University of NaplesNapoliItaly
  3. 3.Fondazione Ugo BordoniRomaItaly
  4. 4.CELCTPovoItaly

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-35827-2
  • Online ISBN 978-3-642-35828-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349