TY - GEN digital ID - 131517964 TI - Evaluation of Natural Language and Speech Tools for Italian : International Workshop, EVALITA 2011, Rome, January 24-25, 2012, Revised Selected Papers AU - Magnini, Bernardo AU - Cutugno, Francesco AU - Falcone, Mauro AU - Pianta, Emanuele PY - 2013 SN - 9783642358289 PB - Berlin, Heidelberg Springer DB - UniCat KW - Information retrieval KW - Mathematical statistics KW - Computer science KW - Computer architecture. Operating systems KW - Information systems KW - Artificial intelligence. Robotics. Simulation. Graphics KW - Computer. Automation KW - Translation science KW - Linguistics KW - Romance languages KW - patroonherkenning KW - IR (information retrieval) KW - factoranalyse KW - spraaktechnologie KW - sociologie KW - computers KW - vertalen KW - linguïstiek KW - informatiesystemen KW - database management KW - KI (kunstmatige intelligentie) KW - computerkunde KW - robots KW - optica KW - gegevensverwerking KW - AI (artificiële intelligentie) UR - https://www.unicat.be/uniCat?func=search&query=sysid:131517964 AB - 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. ER -