Evaluation of Natural Language and Speech Tool for Italian - International Workshop, EVALITA 2011, Rome, January 24-25, 2012, Revised Selected Papers (Paperback, 2013 ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Computer Science, 7689
Release date:	2013
First published:	2013
Editors:	Bernardo Magnini • Francesco Cutugno • Mauro Falcone • Emanuele Pianta
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Paperback
Pages:	339
Edition:	2013 ed.
ISBN-13:	978-3-642-35827-2
Categories:	Books > Language & Literature > Literary & linguistic reference works > General Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation Promotions
LSN:	3-642-35827-6
Barcode:	9783642358272

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