Neural representations of natural language. ([2019])
- Record Type:
- Book
- Title:
- Neural representations of natural language. ([2019])
- Main Title:
- Neural representations of natural language
- Further Information:
- Note: Lyndon White, Roberto Togneri, Wei Liu, Mohammed Bennamoun.
- Authors:
- White, Lyndon
Togneri, Roberto
Liu, Wei
Bennamoun, M (Mohammed) - Contents:
- Introduction.- Machine Learning for Representations.- Current Challenges in Natural Language Processing.- Word Representations.- Word Sense Representations.- Phrase Representations.- Sentence representations and beyond.- Character-Based Representations.- Conclusion.
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2019
- Extent:
- 1 online resource (xiv, 122 pages), illustrations (some color)
- Subjects:
- 006.3/5
Engineering
Natural language processing (Computer science)
Neural networks (Computer science)
Technology & Engineering -- Electronics -- General
Computers -- Computer Vision & Pattern Recognition
Language Arts & Disciplines -- Linguistics -- General
Imaging systems & technology
Pattern recognition
Computational linguistics
Optical pattern recognition
Computational linguistics
Computers -- Intelligence (AI) & Semantics
Artificial intelligence
Electronic books - Languages:
- English
- ISBNs:
- 9789811300622
9811300623 - Related ISBNs:
- 9789811300615
- Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (SpringerLink, viewed September 7, 2018). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.325717
- Ingest File:
- 01_266.xml