Can I read Knowledge-Based Techniques for Document Fraud Detection: A Comprehensive Study on EtoBox?

Knowledge-Based Techniques for Document Fraud Detection: A Comprehensive Study by Beatriz Martínez Tornés; Emanuela Boros; Antoine Doucet; Petra Gomez-Krämer; Jean-Marc Ogier; Vincent Poulain d’Andecy is a book available to read on EtoBox.

What is Knowledge-Based Techniques for Document Fraud Detection: A Comprehensive Study about?

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.

Author

Beatriz Martínez Tornés; Emanuela Boros; Antoine Doucet; Petra Gomez-Krämer; Jean-Marc Ogier; Vincent Poulain d’Andecy

Publisher

Springer International Publishing AG

Published

2023

Language

EN

ISBN

9783031243363

Subjects

Computer Science, Management, Science