TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-031-24340-0
DO  - doi
AB  - 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.
T1  - Computational linguistics and intelligent text processing :20th International Conference, CICLing 2019, La Rochelle, France, April 7-13, 2019, revised selected papers.
AU  - Gelbukh, Alexander,
VL  - 13452
CN  - P98
N1  - Includes author index.
ID  - 1454923
KW  - Computational linguistics
KW  - Text processing (Computer science)
KW  - Natural language processing (Computer science)
SN  - 9783031243400
SN  - 3031243404
TI  - Computational linguistics and intelligent text processing :20th International Conference, CICLing 2019, La Rochelle, France, April 7-13, 2019, revised selected papers.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-24340-0
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-24340-0
ER  -