Cross-Lingual Word Embeddings

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Publisher : Springer Nature
ISBN 13 : 3031021711
Total Pages : 120 pages
Book Rating : 4.18/5 ( 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.

Embeddings in Natural Language Processing

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Author :
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1636390226
Total Pages : 177 pages
Book Rating : 4.22/5 ( 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.

EuroWordNet: A multilingual database with lexical semantic networks

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Publisher : Springer Science & Business Media
ISBN 13 : 9401714916
Total Pages : 180 pages
Book Rating : 4.14/5 ( download)

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Book Synopsis EuroWordNet: A multilingual database with lexical semantic networks by : Piek Vossen

Download or read book EuroWordNet: A multilingual database with lexical semantic networks written by Piek Vossen and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the main objective of EuroWordNet, which is the building of a multilingual database with lexical semantic networks or wordnets for several European languages. Each wordnet in the database represents a language-specific structure due to the unique lexicalization of concepts in languages. The concepts are inter-linked via a separate Inter-Lingual-Index, where equivalent concepts across languages should share the same index item. The flexible multilingual design of the database makes it possible to compare the lexicalizations and semantic structures, revealing answers to fundamental linguistic and philosophical questions which could never be answered before. How consistent are lexical semantic networks across languages, what are the language-specific differences of these networks, is there a language-universal ontology, how much information can be shared across languages? First attempts to answer these questions are given in the form of a set of shared or common Base Concepts that has been derived from the separate wordnets and their classification by a language-neutral top-ontology. These Base Concepts play a fundamental role in several wordnets. Nevertheless, the database may also serve many practical needs with respect to (cross-language) information retrieval, machine translation tools, language generation tools and language learning tools, which are discussed in the final chapter. The book offers an excellent introduction to the EuroWordNet project for scholars in the field and raises many issues that set the directions for further research in semantics and knowledge engineering.

The WordNet in Indian Languages

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Publisher : Springer
ISBN 13 : 9811019096
Total Pages : 264 pages
Book Rating : 4.98/5 ( download)

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Book Synopsis The WordNet in Indian Languages by : Niladri Sekhar Dash

Download or read book The WordNet in Indian Languages written by Niladri Sekhar Dash and published by Springer. This book was released on 2016-10-20 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume discusses in detail the process of construction of a WordNet of 18 Indian languages, called “Indradhanush” (rainbow) in Hindi. It delves into the major challenges involved in developing a WordNet in a multilingual country like India, where the information spread across the languages needs utmost care in processing, synchronization and representation. The project has emerged from the need of millions of people to have access to relevant content in their native languages, and it provides a common interface for information sharing and reuse across the Indian languages. The chapters discuss important methods and strategies of language computation, language data processing, lexical selection and management, and language-specific synset collection and representation, which are of utmost value for the development of a WordNet in any language. The volume overall gives a clear picture of how WordNet is developed in Indian languages and how this can be utilized in similar projects for other languages. It includes illustrations, tables, flowcharts, and diagrams for easy comprehension. This volume is of interest to researchers working in the areas of language processing, machine translation, word sense disambiguation, culture studies, language corpus generation, language teaching, dictionary compilation, lexicographic queries, cross-lingual knowledge sharing, e-governance, and many other areas of linguistics and language technology.

Advances in Information and Communication

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Publisher : Springer Nature
ISBN 13 : 3030394425
Total Pages : 930 pages
Book Rating : 4.24/5 ( download)

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Book Synopsis Advances in Information and Communication by : Kohei Arai

Download or read book Advances in Information and Communication written by Kohei Arai and published by Springer Nature. This book was released on 2020-02-13 with total page 930 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents high-quality research on the concepts and developments in the field of information and communication technologies, and their applications. It features 134 rigorously selected papers (including 10 poster papers) from the Future of Information and Communication Conference 2020 (FICC 2020), held in San Francisco, USA, from March 5 to 6, 2020, addressing state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of future research. Discussing various aspects of communication, data science, ambient intelligence, networking, computing, security and Internet of Things, the book offers researchers, scientists, industrial engineers and students valuable insights into the current research and next generation information science and communication technologies.

Early Years in Machine Translation

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Publisher : John Benjamins Publishing
ISBN 13 : 902724586X
Total Pages : 412 pages
Book Rating : 4.61/5 ( download)

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Book Synopsis Early Years in Machine Translation by : W. John Hutchins

Download or read book Early Years in Machine Translation written by W. John Hutchins and published by John Benjamins Publishing. This book was released on 2000-01-01 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title details the history of the field of machine translation (MT) from its earliest years. It glimpses major figures through biographical accounts recounting the origin and development of research programmes as well as personal details and anecdotes on the impact of political and social events on MT developments.

Web and Big Data

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Publisher : Springer Nature
ISBN 13 : 3030602907
Total Pages : 565 pages
Book Rating : 4.01/5 ( download)

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Book Synopsis Web and Big Data by : Xin Wang

Download or read book Web and Big Data written by Xin Wang and published by Springer Nature. This book was released on 2020-10-13 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, LNCS 11317 and 12318, constitutes the thoroughly refereed proceedings of the 4th International Joint Conference, APWeb-WAIM 2020, held in Tianjin, China, in September 2020. Due to the COVID-19 pandemic the conference was organizedas a fully online conference. The 42 full papers presented together with 17 short papers, and 6 demonstration papers were carefully reviewed and selected from 180 submissions. The papers are organized around the following topics: Big Data Analytics; Graph Data and Social Networks; Knowledge Graph; Recommender Systems; Information Extraction and Retrieval; Machine Learning; Blockchain; Data Mining; Text Analysis and Mining; Spatial, Temporal and Multimedia Databases; Database Systems; and Demo.

Embeddings in Natural Language Processing

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Author :
Publisher : Springer Nature
ISBN 13 : 3031021770
Total Pages : 157 pages
Book Rating : 4.70/5 ( 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 Springer Nature. This book was released on 2022-05-31 with total page 157 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.

Natural Language Processing and Chinese Computing

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Publisher : Springer Nature
ISBN 13 : 3031446933
Total Pages : 897 pages
Book Rating : 4.31/5 ( download)

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Book Synopsis Natural Language Processing and Chinese Computing by : Fei Liu

Download or read book Natural Language Processing and Chinese Computing written by Fei Liu and published by Springer Nature. This book was released on 2023-10-07 with total page 897 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set constitutes the refereed proceedings of the 12th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2023, held in Foshan, China, during October 12–15, 2023. The 143 regular papers included in these proceedings were carefully reviewed and selected from 478 submissions. They were organized in topical sections as follows: dialogue systems; fundamentals of NLP; information extraction and knowledge graph; machine learning for NLP; machine translation and multilinguality; multimodality and explainability; NLP applications and text mining; question answering; large language models; summarization and generation; student workshop; and evaluation workshop.

Knowledge Science, Engineering and Management

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Publisher : Springer Nature
ISBN 13 : 303029563X
Total Pages : 429 pages
Book Rating : 4.39/5 ( download)

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Book Synopsis Knowledge Science, Engineering and Management by : Christos Douligeris

Download or read book Knowledge Science, Engineering and Management written by Christos Douligeris and published by Springer Nature. This book was released on 2019-08-21 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set of LNAI 11775 and LNAI 11776 constitutes the refereed proceedings of the 12th International Conference on Knowledge Science, Engineering and Management, KSEM 2019, held in Athens, Greece, in August 2019. The 77 revised full papers and 23 short papers presented together with 10 poster papers were carefully reviewed and selected from 240 submissions. The papers of the first volume are organized in the following topical sections: Formal Reasoning and Ontologies; Recommendation Algorithms and Systems; Social Knowledge Analysis and Management ; Data Processing and Data Mining; Image and Video Data Analysis; Deep Learning; Knowledge Graph and Knowledge Management; Machine Learning; and Knowledge Engineering Applications. The papers of the second volume are organized in the following topical sections: Probabilistic Models and Applications; Text Mining and Document Analysis; Knowledge Theories and Models; and Network Knowledge Representation and Learning.