Representation Learning For Natural Language Processing
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Representation Learning For Natural Language Processing
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Author : Zhiyuan Liu
language : en
Publisher: Springer Nature
Release Date : 2020-07-03
Representation Learning For Natural Language Processing written by Zhiyuan Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-03 with Computers categories.
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.
Representation Learning For Natural Language Processing
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Author : Zhiyuan Liu
language : en
Publisher: Springer
Release Date : 2020-09-08
Representation Learning For Natural Language Processing written by Zhiyuan Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-08 with Computers categories.
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.
Cross Lingual Representation Learning For Natural Language Processing
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Author : Wasi Uddin Ahmad
language : en
Publisher:
Release Date : 2021
Cross Lingual Representation Learning For Natural Language Processing written by Wasi Uddin Ahmad and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
In the modern era of deep learning, developing natural language processing (NLP) systems require large-scale annotated data. However, it is unfortunate that most large-scale labeled datasets are only available in a handful of languages; for the vast majority of languages, either a few or no annotations are available to empower automated NLP applications. Hence, one of the focuses of cross-lingual NLP research is to develop computational approaches by leveraging resource-rich language corpora and utilize them in low-resource language applications via transferable representation learning.Cross-lingual representation learning has emerged as an indispensable ingredient for cross-lingual natural language understanding that learns to embed notions, such as meanings of words, how the words are combined to form a concept, etc., in shared representation space. In recent years, cross-lingual representation learning and transfer learning together have redefined low-resource NLP and enabled us to build models for a broad spectrum of languages. This dissertation discusses the fundamental challenges and proposes several approaches for cross-lingual representation learning that (1) utilize universal syntactic dependencies to bridge the typological differences across languages and (2) effectively use unlabeled resources to learn robust and generalizable representations. The proposed approaches in this dissertation effectively transfer across a wide range of languages across different NLP applications, including dependency parsing, named entity recognition, text classification, question answering, and more.
Representation Learning For Natural Language Processing
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Author : 周春婷
language : en
Publisher:
Release Date : 2016
Representation Learning For Natural Language Processing written by 周春婷 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Natural language processing (Computer science) categories.
Multi View Representation Learning For Natural Language Processing Applications
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Author : Nikolaos Papasarantopoulos
language : en
Publisher:
Release Date : 2020
Multi View Representation Learning For Natural Language Processing Applications written by Nikolaos Papasarantopoulos and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Proceedings Of The Conference On Empirical Methods In Natural Language Processing
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Author : Eric Brill
language : en
Publisher:
Release Date : 1996
Proceedings Of The Conference On Empirical Methods In Natural Language Processing written by Eric Brill and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computational linguistics categories.
Deep Learning In Natural Language Processing
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Author : Li Deng
language : en
Publisher: Springer
Release Date : 2018-05-23
Deep Learning In Natural Language Processing written by Li Deng and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-23 with Computers categories.
In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence. This book reviews the state of the art of deep learning research and its successful applications to major NLP tasks, including speech recognition and understanding, dialogue systems, lexical analysis, parsing, knowledge graphs, machine translation, question answering, sentiment analysis, social computing, and natural language generation from images. Outlining and analyzing various research frontiers of NLP in the deep learning era, it features self-contained, comprehensive chapters written by leading researchers in the field. A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.
Ijcai 99
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Author : Thomas L. Dean
language : en
Publisher:
Release Date : 1999
Ijcai 99 written by Thomas L. Dean and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Artificial intelligence categories.
Hybrid Connectionist Natural Language Processing
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Author : Stefan Wermter
language : en
Publisher:
Release Date : 1995
Hybrid Connectionist Natural Language Processing written by Stefan Wermter and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
Enhancing Robustness And Interpretability In Natural Language Processing Through Representation Learning
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Author : Hanqi Yan
language : en
Publisher:
Release Date : 2024
Enhancing Robustness And Interpretability In Natural Language Processing Through Representation Learning written by Hanqi Yan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Computational linguistics categories.