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Computational Processing of the Portuguese Language : 13th International Conference, PROPOR 2018, Canela, Brazil, September 24-26, 2018, Proceedings / edited by Aline Villavicencio, Viviane Moreira, Alberto Abad, Helena Caseli, Pablo Gamallo, Carlos Ramisch, Hugo Gonçalo Oliveira, Gustavo Henrique Paetzold.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 11122
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 11122
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Natural language processing (Computer science).
- Machine theory.
- Data mining.
- Artificial Intelligence.
- Natural Language Processing (NLP).
- Formal Languages and Automata Theory.
- Data Mining and Knowledge Discovery.
- Local Subjects:
- Artificial Intelligence.
- Natural Language Processing (NLP).
- Formal Languages and Automata Theory.
- Data Mining and Knowledge Discovery.
- Physical Description:
- 1 online resource (XVII, 500 pages) : 86 illustrations
- Edition:
- 1st ed. 2018.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2018.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 13th International Conference on Computational Processing of the Portuguese Language, PROPOR 2018, held in Canela, RS, Brazil, in September 2018. The 42 full papers, 3 short papers and 4 other papers presented in this volume were carefully reviewed and selected from 92 submissions. The papers are organized in topical sections named: Corpus Linguistics, Information Extraction, Language Applications, Language Resources, Sentiment Analysis and Opinion Mining, Speech Processing, and Syntax and Parsing.
- Contents:
- Corpus Linguistics
- Information Extraction
- Natural Language Processing Applications
- Language Resources
- Sentiment Analysis and Opinion Mining
- Speech Processing
- Syntax and Parsing.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-99722-3
- 9783319997223
- Access Restriction:
- Restricted for use by site license.
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