腐烂
发表于 2025-3-23 10:17:52
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conscience
发表于 2025-3-23 17:09:22
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一个姐姐
发表于 2025-3-23 18:58:23
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ACME
发表于 2025-3-24 00:37:57
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.
符合国情
发表于 2025-3-24 04:02:11
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SEMI
发表于 2025-3-24 08:59:32
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RAFF
发表于 2025-3-24 12:28:48
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
Parley
发表于 2025-3-24 18:56:03
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.
含糊其辞
发表于 2025-3-24 20:52:00
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.
gout109
发表于 2025-3-25 02:03:57
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