Intelligent Information and Database Systems

Intelligent Information and Database Systems

Author: Ngoc Thanh Nguyen

Publisher: Springer Nature

Published: 2020-03-03

Total Pages: 684

ISBN-13: 3030419649

DOWNLOAD EBOOK

The two-volume set LNAI 12033 and 11034 constitutes the refereed proceedings of the 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020, held in Phuket, Thailand, in March 2020. The total of 105 full papers accepted for publication in these proceedings were carefully reviewed and selected from 285 submissions. The papers of the first volume are organized in the following topical sections: Knowledge Engineering and Semantic Web, Natural Language Processing, Decision Support and Control Systems, Computer Vision Techniques, Machine Learning and Data Mining, Deep Learning Models, Advanced Data Mining Techniques and Applications, Multiple Model Approach to Machine Learning. The papers of the second volume are divided into these topical sections: Application of Intelligent Methods to Constrained Problems, Automated Reasoning with Applications in Intelligent Systems, Current Trends in Arti cial Intelligence, Optimization, Learning,and Decision-Making in Bioinformatics and Bioengineering, Computer Vision and Intelligent Systems, Data Modelling and Processing for Industry 4.0, Intelligent Applications of Internet of Things and Data AnalysisTechnologies, Intelligent and Contextual Systems, Intelligent Systems and Algorithms in Information Sciences, Intelligent Supply Chains and e-Commerce, Privacy, Security and Trust in Arti cial Intelligence, Interactive Analysis of Image, Video and Motion Data in LifeSciences.


Semisupervised Learning for Computational Linguistics

Semisupervised Learning for Computational Linguistics

Author: Steven Abney

Publisher: CRC Press

Published: 2019-08-30

Total Pages: 320

ISBN-13: 9780367388638

DOWNLOAD EBOOK

The rapid advancement in the theoretical understanding of statistical and machine learning methods for semisupervised learning has made it difficult for nonspecialists to keep up to date in the field. Providing a broad, accessible treatment of the theory as well as linguistic applications, Semisupervised Learning for Computational Linguistics offers self-contained coverage of semisupervised methods that includes background material on supervised and unsupervised learning. The book presents a brief history of semisupervised learning and its place in the spectrum of learning methods before moving on to discuss well-known natural language processing methods, such as self-training and co-training. It then centers on machine learning techniques, including the boundary-oriented methods of perceptrons, boosting, support vector machines (SVMs), and the null-category noise model. In addition, the book covers clustering, the expectation-maximization (EM) algorithm, related generative methods, and agreement methods. It concludes with the graph-based method of label propagation as well as a detailed discussion of spectral methods. Taking an intuitive approach to the material, this lucid book facilitates the application of semisupervised learning methods to natural language processing and provides the framework and motivation for a more systematic study of machine learning.


Natural Language Processing and Information Systems

Natural Language Processing and Information Systems

Author: Chris Biemann

Publisher: Springer

Published: 2015-06-03

Total Pages: 460

ISBN-13: 3319195816

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, held in Passau, Germany, in June 2015. The 18 full papers, 15 short papers, 14 poster and demonstration papers presented were carefully reviewed and selected from 100 submissions. The papers cover the following topics: information extraction, distributional semantics, querying and question answering systems, context-aware NLP, cognitive and semantic computing, sentiment and opinion analysis, information extraction and social media, NLP and usability, text classification and extraction, and posters and demonstrations.


Computational Linguistics and Intelligent Text Processing

Computational Linguistics and Intelligent Text Processing

Author: Alexander Gelbukh

Publisher: Springer

Published: 2018-10-09

Total Pages: 613

ISBN-13: 3319771132

DOWNLOAD EBOOK

The two-volume set LNCS 10761 + 10762 constitutes revised selected papers from the CICLing 2017 conference which took place in Budapest, Hungary, in April 2017. The total of 90 papers presented in the two volumes was carefully reviewed and selected from numerous submissions. In addition, the proceedings contain 4 invited papers. The papers are organized in the following topical sections: Part I: general; morphology and text segmentation; syntax and parsing; word sense disambiguation; reference and coreference resolution; named entity recognition; semantics and text similarity; information extraction; speech recognition; applications to linguistics and the humanities. Part II: sentiment analysis; opinion mining; author profiling and authorship attribution; social network analysis; machine translation; text summarization; information retrieval and text classification; practical applications.


Advances in Artificial Intelligence and Soft Computing

Advances in Artificial Intelligence and Soft Computing

Author: Grigori Sidorov

Publisher: Springer

Published: 2015-11-19

Total Pages: 591

ISBN-13: 3319270605

DOWNLOAD EBOOK

The two volume set LNAI 9413 + LNAI 9414 constitutes the proceedings of the 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, held in Cuernavaca, Morelos, Mexico, in October 2015. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 297 submissions. They were organized in topical sections named: natural language processing; logic and multi-agent systems; bioinspired algorithms; neural networks; evolutionary algorithms; fuzzy logic; machine learning and data mining; natural language processing applications; educational applications; biomedical applications; image processing and computer vision; search and optimization; forecasting; and intelligent applications.


Computational Processing of the Portuguese Language

Computational Processing of the Portuguese Language

Author: João Silva

Publisher: Springer

Published: 2016-06-20

Total Pages: 402

ISBN-13: 3319415522

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 12th International Conference on Computational Processing of the Portuguese Language, PROPOR 2016, held in Tomar, Portugal, in July 2016. The 23 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 52 submissions. The papers are organized in topical sections named: language applications, language processing, and language resources.


Computational Processing of the Portuguese Language

Computational Processing of the Portuguese Language

Author: Aline Villavicencio

Publisher: Springer

Published: 2018-09-14

Total Pages: 507

ISBN-13: 331999722X

DOWNLOAD EBOOK

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, LanguageApplications, Language Resources, Sentiment Analysis and Opinion Mining, Speech Processing, and Syntax and Parsing.