Leveraging Word Embeddings To Enrich Linguistics And Natural Language Understanding

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Embeddings in Natural Language Processing

Author : Mohammad Taher Pilehvar
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1636390226
Total Pages : 177 pages
Book Rating : 4.6/5 (363 download)

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Book Synopsis Embeddings in Natural Language Processing by : Mohammad Taher Pilehvar

Download or read book Embeddings in Natural Language Processing written by Mohammad Taher Pilehvar and published by Morgan & Claypool Publishers. This book was released on 2020-11-13 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). Encoding information into a low-dimensional vector representation, which is easily integrable in modern machine learning models, has played a central role in the development of NLP. Embedding techniques initially focused on words, but the attention soon started to shift to other forms: from graph structures, such as knowledge bases, to other types of textual content, such as sentences and documents. This book provides a high-level synthesis of the main embedding techniques in NLP, in the broad sense. The book starts by explaining conventional word vector space models and word embeddings (e.g., Word2Vec and GloVe) and then moves to other types of embeddings, such as word sense, sentence and document, and graph embeddings. The book also provides an overview of recent developments in contextualized representations (e.g., ELMo and BERT) and explains their potential in NLP. Throughout the book, the reader can find both essential information for understanding a certain topic from scratch and a broad overview of the most successful techniques developed in the literature.

Cross-Lingual Word Embeddings

Author : Anders Søgaard
Publisher : Springer Nature
ISBN 13 : 3031021711
Total Pages : 120 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Cross-Lingual Word Embeddings by : Anders Søgaard

Download or read book Cross-Lingual Word Embeddings written by Anders Søgaard and published by Springer Nature. This book was released on 2022-05-31 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: The majority of natural language processing (NLP) is English language processing, and while there is good language technology support for (standard varieties of) English, support for Albanian, Burmese, or Cebuano--and most other languages--remains limited. Being able to bridge this digital divide is important for scientific and democratic reasons but also represents an enormous growth potential. A key challenge for this to happen is learning to align basic meaning-bearing units of different languages. In this book, the authors survey and discuss recent and historical work on supervised and unsupervised learning of such alignments. Specifically, the book focuses on so-called cross-lingual word embeddings. The survey is intended to be systematic, using consistent notation and putting the available methods on comparable form, making it easy to compare wildly different approaches. In so doing, the authors establish previously unreported relations between these methods and are able to present a fast-growing literature in a very compact way. Furthermore, the authors discuss how best to evaluate cross-lingual word embedding methods and survey the resources available for students and researchers interested in this topic.

Representation Learning for Natural Language Processing

Author : Zhiyuan Liu
Publisher : Springer Nature
ISBN 13 : 9811555737
Total Pages : 319 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Representation Learning for Natural Language Processing by : Zhiyuan Liu

Download or read book Representation Learning for Natural Language Processing written by Zhiyuan Liu and published by Springer Nature. This book was released on 2020-07-03 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Speech & Language Processing

Author : Dan Jurafsky
Publisher : Pearson Education India
ISBN 13 : 9788131716724
Total Pages : 912 pages
Book Rating : 4.7/5 (167 download)

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Book Synopsis Speech & Language Processing by : Dan Jurafsky

Download or read book Speech & Language Processing written by Dan Jurafsky and published by Pearson Education India. This book was released on 2000-09 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration

Author : Dion H. Goh
Publisher : Springer Nature
ISBN 13 : 9819980852
Total Pages : 279 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration by : Dion H. Goh

Download or read book Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration written by Dion H. Goh and published by Springer Nature. This book was released on 2023-11-29 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 14457 and LNCS 14458 constitutes the refereed proceedings of the 25th International Conference on Asia-Pacific Digital Libraries, ICADL 2023, held in Taipei, Taiwan, during December 4-7, 2023. The 15 full, 17 short, 2 practice papers and 12 poster papers presented in this volume were carefully reviewed and selected from 85 submissions. Based on significant contributions, the full and short papers have been classified into the following topics: include information retrieval, knowledge extraction and discovery, cultural and scholarly data, information seeking and use, digital archives and data management, design and evaluation of information environments, and applications of GAI in digital libraries.

Representation Learning for Natural Language Processing

Author : Zhiyuan Liu
Publisher : Springer Nature
ISBN 13 : 9819916003
Total Pages : 535 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Representation Learning for Natural Language Processing by : Zhiyuan Liu

Download or read book Representation Learning for Natural Language Processing written by Zhiyuan Liu and published by Springer Nature. This book was released on 2023-08-23 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training techniques. Part II then introduces the related representation techniques to NLP, including graphs, cross-modal entries, and robustness. Part III then introduces the representation techniques for the knowledge that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, legal domain knowledge and biomedical domain knowledge. Lastly, Part IV 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. As compared to the first edition, the second edition (1) provides a more detailed introduction to representation learning in Chapter 1; (2) adds four new chapters to introduce pre-trained language models, robust representation learning, legal knowledge representation learning and biomedical knowledge representation learning; (3) updates recent advances in representation learning in all chapters; and (4) corrects some errors in the first edition. The new contents will be approximately 50%+ compared to the first edition. This is an open access book.

Inductive Logic Programming

Author : Nikos Katzouris
Publisher : Springer Nature
ISBN 13 : 3030974545
Total Pages : 293 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Inductive Logic Programming by : Nikos Katzouris

Download or read book Inductive Logic Programming written by Nikos Katzouris and published by Springer Nature. This book was released on 2022-02-23 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 30th International Conference on Inductive Logic Programming, ILP 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 papers and 3 short papers presented were carefully reviewed and selected from 19 submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data.

Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

Author : Maosong Sun
Publisher : Springer
ISBN 13 : 3030017168
Total Pages : 417 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data by : Maosong Sun

Download or read book Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data written by Maosong Sun and published by Springer. This book was released on 2018-10-11 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 17th China National Conference on Computational Linguistics, CCL 2018, and the 6th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2018, held in Changsha, China, in October 2018. The 33 full papers presented in this volume were carefully reviewed and selected from 84 submissions. They are organized in topical sections named: Semantics; machine translation; knowledge graph and information extraction; linguistic resource annotation and evaluation; information retrieval and question answering; text classification and summarization; social computing and sentiment analysis; and NLP applications.

Leveraging Biomedical and Healthcare Data

Author : Firas Kobeissy
Publisher : Academic Press
ISBN 13 : 012809561X
Total Pages : 228 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Leveraging Biomedical and Healthcare Data by : Firas Kobeissy

Download or read book Leveraging Biomedical and Healthcare Data written by Firas Kobeissy and published by Academic Press. This book was released on 2018-11-23 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leveraging Biomedical and Healthcare Data: Semantics, Analytics and Knowledge provides an overview of the approaches used in semantic systems biology, introduces novel areas of its application, and describes step-wise protocols for transforming heterogeneous data into useful knowledge that can influence healthcare and biomedical research. Given the astronomical increase in the number of published reports, papers, and datasets over the last few decades, the ability to curate this data has become a new field of biomedical and healthcare research. This book discusses big data text-based mining to better understand the molecular architecture of diseases and to guide health care decision. It will be a valuable resource for bioinformaticians and members of several areas of the biomedical field who are interested in understanding more about how to process and apply great amounts of data to improve their research. Includes at each section resource pages containing a list of available curated raw and processed data that can be used by researchers in the field Provides demonstrative and relevant examples that serve as a general tutorial Presents a list of algorithm names and computational tools available for basic and clinical researchers

Computational Intelligence in Data Science

Author : Mieczyslaw Lech Owoc
Publisher : Springer Nature
ISBN 13 : 3031699866
Total Pages : 532 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Computational Intelligence in Data Science by : Mieczyslaw Lech Owoc

Download or read book Computational Intelligence in Data Science written by Mieczyslaw Lech Owoc and published by Springer Nature. This book was released on with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Informatics and Technology in Clinical Care and Public Health

Author : J. Mantas
Publisher : IOS Press
ISBN 13 : 1643682512
Total Pages : 540 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Informatics and Technology in Clinical Care and Public Health by : J. Mantas

Download or read book Informatics and Technology in Clinical Care and Public Health written by J. Mantas and published by IOS Press. This book was released on 2022-02-25 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data, informatics, and technology are now among the most important aspects inspiring health professionals and informaticians to improve healthcare for the benefit of patients. This book presents the proceedings of the 19th annual International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2021), held as a virtual event due to COVID-19 pandemic restrictions on 16 and 17 October 2021 in Athens, Greece. The ICIMTH conferences are a series of scientific events which bring together scientists working in the field of biomedical and health informatics from around the world. The 2021 conference examined the field of biomedical and health informatics in a very broad framework, presenting the research and application outcomes of informatics from cell to populations, and including a number of technologies such as imaging, sensors and biomedical equipment, as well as management and organizational aspects, including legal and social issues and the setting of research priorities in health informatics. A significant number of the papers included here relate to the COVID-19 pandemic. Providing an insight into the latest developments in biomedical and health informatics, the book will be of interest to all those working in the field.

Natural Language Processing and Information Systems

Author : Flavius Frasincar
Publisher : Springer
ISBN 13 : 3319595695
Total Pages : 510 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Natural Language Processing and Information Systems by : Flavius Frasincar

Download or read book Natural Language Processing and Information Systems written by Flavius Frasincar and published by Springer. This book was released on 2017-06-12 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, held in Liège, Belgium, in June 2017. The 22 full papers, 19 short papers, and 16 poster papers presented were carefully reviewed and selected from 125 submissions. The papers are organized in the following topical sections: feature engineering; information extraction; information extraction from resource-scarce languages; natural language processing applications; neural language models and applications; opinion mining and sentiment analysis; question answering systems and applications; semantics-based models and applications; and text summarization.

The Oxford Handbook of Computational Linguistics

Author : Ruslan Mitkov
Publisher : Oxford University Press
ISBN 13 : 019927634X
Total Pages : 808 pages
Book Rating : 4.1/5 (992 download)

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Book Synopsis The Oxford Handbook of Computational Linguistics by : Ruslan Mitkov

Download or read book The Oxford Handbook of Computational Linguistics written by Ruslan Mitkov and published by Oxford University Press. This book was released on 2004 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook of computational linguistics, written for academics, graduate students and researchers, provides a state-of-the-art reference to one of the most active and productive fields in linguistics.

ECAI 2020

Author : G. De Giacomo
Publisher : IOS Press
ISBN 13 : 164368101X
Total Pages : 3122 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis ECAI 2020 by : G. De Giacomo

Download or read book ECAI 2020 written by G. De Giacomo and published by IOS Press. This book was released on 2020-09-11 with total page 3122 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology. The book also includes the proceedings of the 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) held at the same time. A record number of more than 1,700 submissions was received for ECAI 2020, of which 1,443 were reviewed. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). The book is divided into three sections: ECAI full papers; ECAI highlight papers; and PAIS papers. The topics of these papers cover all aspects of AI, including Agent-based and Multi-agent Systems; Computational Intelligence; Constraints and Satisfiability; Games and Virtual Environments; Heuristic Search; Human Aspects in AI; Information Retrieval and Filtering; Knowledge Representation and Reasoning; Machine Learning; Multidisciplinary Topics and Applications; Natural Language Processing; Planning and Scheduling; Robotics; Safe, Explainable, and Trustworthy AI; Semantic Technologies; Uncertainty in AI; and Vision. The book will be of interest to all those whose work involves the use of AI technology.

Deep Learning for Natural Language Processing

Author : Mihai Surdeanu
Publisher : Cambridge University Press
ISBN 13 : 1009027808
Total Pages : 345 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Deep Learning for Natural Language Processing by : Mihai Surdeanu

Download or read book Deep Learning for Natural Language Processing written by Mihai Surdeanu and published by Cambridge University Press. This book was released on 2024-01-31 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning is becoming increasingly important in a technology-dominated world. However, the building of computational models that accurately represent linguistic structures is complex, as it involves an in-depth knowledge of neural networks, and the understanding of advanced mathematical concepts such as calculus and statistics. This book makes these complexities accessible to those from a humanities and social sciences background, by providing a clear introduction to deep learning for natural language processing. It covers both theoretical and practical aspects, and assumes minimal knowledge of machine learning, explaining the theory behind natural language in an easy-to-read way. It includes pseudo code for the simpler algorithms discussed, and actual Python code for the more complicated architectures, using modern deep learning libraries such as PyTorch and Hugging Face. Providing the necessary theoretical foundation and practical tools, this book will enable readers to immediately begin building real-world, practical natural language processing systems.

Emotion Detection in Natural Language Processing

Author : Federica Cavicchio
Publisher : Springer Nature
ISBN 13 : 3031720474
Total Pages : 114 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Emotion Detection in Natural Language Processing by : Federica Cavicchio

Download or read book Emotion Detection in Natural Language Processing written by Federica Cavicchio and published by Springer Nature. This book was released on with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multifaceted approaches for Data Acquisition, Processing & Communication

Author : Chinmay Chakraborty
Publisher : CRC Press
ISBN 13 : 1040017045
Total Pages : 293 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Multifaceted approaches for Data Acquisition, Processing & Communication by : Chinmay Chakraborty

Download or read book Multifaceted approaches for Data Acquisition, Processing & Communication written by Chinmay Chakraborty and published by CRC Press. This book was released on 2024-06-24 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of the conference is to bring to focus the recent technological advancements across all the stages of data analysis including acquisition, processing, and communication. Advancements in acquisition sensors along with improved storage and computational capabilities, have stimulated the progress in theoretical studies and state-of-the-art real-time applications involving large volumes of data. This compels researchers to investigate the new challenges encountered, where traditional approaches are incapable of dealing with large, complicated new forms of data.