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Titlebook: Evaluation of Natural Language and Speech Tool for Italian; International Worksh Bernardo Magnini,Francesco Cutugno,Emanuele Pianta Confere

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A Simple Yet Effective Approach for Named Entity Recognition from Transcribed Broadcast Newsion test data. On the manual transcriptions of the same test data (although having no sentence boundary and punctuation symbol), the system achieves an F1-score of . which is quite high considering the fact that the system is language independent and uses no external dictionaries, gazetteers or ontologies.
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Conference proceedings 2013uage. 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 contri
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https://doi.org/10.1007/978-3-658-30472-0bmission achieved best accuracy among pure statistical parsers. An analysis of the errors shows that the accuracy is quite high on half of the test set and lower on the second half, which belongs to a different domain. We propose a variant of the parsing algorithm to address these shortcomings.
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Tuning DeSR for Dependency Parsing of Italianbmission achieved best accuracy among pure statistical parsers. An analysis of the errors shows that the accuracy is quite high on half of the test set and lower on the second half, which belongs to a different domain. We propose a variant of the parsing algorithm to address these shortcomings.
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0302-9743 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 com
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