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[null,"1.","Record Nr.",null,"UNISA996511869603316"]
[null,null,"Titolo",null,"Computational Linguistics and Intelligent Text Processing . Part II : 20th International Conference, CICLing 2019, la Rochelle, France, April 7-13, 2019, Revised Selected Papers / / Alexander Gelbukh (editor)"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2023]"]
[{"$nulls":4},"©2023"]
[null,null,"ISBN",null,"3-031-24340-4"]
[null,null,"Edizione",null,"[First edition.]"]
[null,null,"Descrizione fisica",null,"1 online resource (683 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science Series ; ; Volume 13452"]
[null,null,"Disciplina",null,"410.285"]
[null,null,"Soggetti",null,"Computational linguistics"]
[{"$nulls":4},"Natural language processing (Computer science)"]
[{"$nulls":4},"Text processing (Computer science)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Artificial intelligence -- Natural language processing -- Information extraction -- Lexical semantics -- Natural language generation -- Language resources -- Phonology  -- Morphology -- Discourse -- Dialogue and pragmatics."]
[null,null,null,"Sommario/riassunto","The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019. The total of 95 papers presented in the two volumes was carefully reviewed and selected from 335 submissions. The book also contains 3 invited papers. The papers are organized in the following topical sections: General, Information extraction, Information retrieval, Language modeling, Lexical resources, Machine translation, Morphology, sintax, parsing, Name entity recognition, Semantics and text similarity, Sentiment analysis, Speech processing, Text categorization, Text generation, and Text mining."]