Search results: Found 3

Listing 1 - 3 of 3
Sort by
Proceedings of the International Conference on Interdisciplinary Studies (ICIS 2016) - Interdisciplinarity and Creativity in the Knowledge Society

Author:
ISBN: 9789535149071 9789535127680 Year: Pages: 192 DOI: 10.5772/62676 Language: English
Publisher: IntechOpen
Subject: Computer Science
Added to DOAB on : 2019-10-03 09:47:10

Loading...
Export citation

Choose an application

Abstract

Interdisciplinarity is a sine qua non condition for any modern endeavour, a reason for the International Conference on Interdisciplinary Studies (ICIS 2016) to promote new and emerging research topics and interdisciplinary collaborations. During the event experiences about how interdisciplinary research is carried out were summarized and the demand for interdisciplinary research and innovation was investigated. The 2016 edition aimed also to get an in-depth view of the solutions to provide the skills required for real advancement of our society, to emphasize the social need for creative thinking and innovation and to investigate the role creative thinking plays in producing new, integrative knowledge. The present volume summarizes the most relevant papers accepted for presentation during ICIS 2016, held at Ovidius University of Constanta, Romania, between 10 and 11 June 2016.

Semantic Systems. The Power of AI and Knowledge Graphs

Authors: --- --- --- --- et al.
Book Series: Lecture Notes in Computer Science ISBN: 9783030332204 Year: Pages: 392 DOI: 10.1007/978-3-030-33220-4 Language: English
Publisher: Springer Nature
Subject: Computer Science
Added to DOAB on : 2020-01-29 11:21:10
License:

Loading...
Export citation

Choose an application

Abstract

This open access book constitutes the refereed proceedings of the 15th International Conference on Semantic Systems, SEMANTiCS 2019, held in Karlsruhe, Germany, in September 2019. The 20 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 88 submissions. They cover topics such as: web semantics and linked (open) data; machine learning and deep learning techniques; semantic information management and knowledge integration; terminology, thesaurus and ontology management; data mining and knowledge discovery; semantics in blockchain and distributed ledger technologies.

Representation Learning for Natural Language Processing

Authors: --- ---
ISBN: 9789811555732 Year: Pages: 334 DOI: 10.1007/978-981-15-5573-2 Language: English
Publisher: Springer Nature
Subject: Computer Science --- Linguistics
Added to DOAB on : 2020-07-15 23:58:09
License:

Loading...
Export citation

Choose an application

Abstract

This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.

Listing 1 - 3 of 3
Sort by
Narrow your search

Publisher

Springer Nature (2)

IntechOpen (1)


License

CC by (2)

unknown (1)


Language

english (3)


Year
From To Submit

2020 (1)

2019 (1)

2016 (1)