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Information Retrieval and Natural Language Processing: A Graph Theory Approach, Sonawane Sheetal S., Mahalle Parikshit N., Ghotkar Archana S.


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Автор: Sonawane Sheetal S., Mahalle Parikshit N., Ghotkar Archana S.
Название:  Information Retrieval and Natural Language Processing: A Graph Theory Approach
ISBN: 9789811699948
Издательство: Springer
Классификация:





ISBN-10: 9811699941
Обложка/Формат: Hardcover
Страницы: 198
Вес: 0.45 кг.
Дата издания: 05.04.2022
Серия: Studies in big data
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 118 illustrations, color; 53 illustrations, black and white; xix, 176 p. 171 illus., 118 illus. in color.; 118 illustrations, color; 53 illustrations,
Размер: 23.39 x 15.60 x 1.27 cm
Читательская аудитория: Professional & vocational
Подзаголовок: A graph theory approach
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book gives a comprehensive view of graph theory in informational retrieval (IR) and natural language processing(NLP). The first part gives graph theory basics and graph networks, and the second part provides basics of IR with graph-based information retrieval.


Charting a New Course: Natural Language Processing and Information Retrieval.

Автор: John I. Tait
Название: Charting a New Course: Natural Language Processing and Information Retrieval.
ISBN: 9401781672 ISBN-13(EAN): 9789401781671
Издательство: Springer
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Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Karen Sparck Jones is one of the major figures of 20th century and early 21st Century computing and information processing.

Automatic Disambiguation of Author Names in Bibliographic Repositories

Автор: Ferreira Anderson A., Gonзalves Marcos Andrй, Laender Alberto H. F.
Название: Automatic Disambiguation of Author Names in Bibliographic Repositories
ISBN: 1681738570 ISBN-13(EAN): 9781681738574
Издательство: Mare Nostrum (Eurospan)
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Цена: 7207.00 р.
Наличие на складе: Нет в наличии.

Описание: This book deals with a hard problem that is inherent to human language: ambiguity.

In particular, we focus on author name ambiguity, a type of ambiguity that exists in digital bibliographic repositories, which occurs when an author publishes works under distinct names or distinct authors publish works under similar names. This problem may be caused by a number of reasons, including the lack of standards and common practices, and the decentralized generation of bibliographic content. As a consequence, the quality of the main services of digital bibliographic repositories such as search, browsing, and recommendation may be severely affected by author name ambiguity. The focal point of the book is on automatic methods, since manual solutions do not scale to the size of the current repositories or the speed in which they are updated. Accordingly, we provide an ample view on the problem of automatic disambiguation of author names, summarizing the results of more than a decade of research on this topic conducted by our group, which were reported in more than a dozen publications that received over 900 citations so far, according to Google Scholar. We start by discussing its motivational issues (Chapter 1). Next, we formally define the author name disambiguation task (Chapter 2) and use this formalization to provide a brief, taxonomically organized, overview of the literature on the topic (Chapter 3). We then organize, summarize and integrate the efforts of our own group on developing solutions for the problem that have historically produced state-of-the-art (by the time of their proposals) results in terms of the quality of the disambiguation results. Thus, Chapter 4 covers HHC - Heuristic-based Clustering, an author name disambiguation method that is based on two specific real-world assumptions regarding scientific authorship. Then, Chapter 5 describes SAND - Self-training Author Name Disambiguator and Chapter 6 presents two incremental author name disambiguation methods, namely INDi - Incremental Unsupervised Name Disambiguation and INC- Incremental Nearest Cluster. Finally, Chapter 7 provides an overview of recent author name disambiguation methods that address new specific approaches such as graph-based representations, alternative predefined similarity functions, visualization facilities and approaches based on artificial neural networks. The chapters are followed by three appendices that cover, respectively: (i) a pattern matching function for comparing proper names and used by some of the methods addressed in this book; (ii) a tool for generating synthetic collections of citation records for distinct experimental tasks; and (iii) a number of datasets commonly used to evaluate author name disambiguation methods. In summary, the book organizes a large body of knowledge and work in the area of author name disambiguation in the last decade, hoping to consolidate a solid basis for future developments in the field.

Automatic Disambiguation of Author Names in Bibliographic Repositories

Автор: Alberto H. F. Laender, Anderson A. Ferreira, Marcos Andre Goncalves
Название: Automatic Disambiguation of Author Names in Bibliographic Repositories
ISBN: 1681738597 ISBN-13(EAN): 9781681738598
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 9979.00 р.
Наличие на складе: Нет в наличии.

Описание: This book deals with a hard problem that is inherent to human language: ambiguity.

In particular, we focus on author name ambiguity, a type of ambiguity that exists in digital bibliographic repositories, which occurs when an author publishes works under distinct names or distinct authors publish works under similar names. This problem may be caused by a number of reasons, including the lack of standards and common practices, and the decentralized generation of bibliographic content. As a consequence, the quality of the main services of digital bibliographic repositories such as search, browsing, and recommendation may be severely affected by author name ambiguity. The focal point of the book is on automatic methods, since manual solutions do not scale to the size of the current repositories or the speed in which they are updated. Accordingly, we provide an ample view on the problem of automatic disambiguation of author names, summarizing the results of more than a decade of research on this topic conducted by our group, which were reported in more than a dozen publications that received over 900 citations so far, according to Google Scholar. We start by discussing its motivational issues (Chapter 1). Next, we formally define the author name disambiguation task (Chapter 2) and use this formalization to provide a brief, taxonomically organized, overview of the literature on the topic (Chapter 3). We then organize, summarize and integrate the efforts of our own group on developing solutions for the problem that have historically produced state-of-the-art (by the time of their proposals) results in terms of the quality of the disambiguation results. Thus, Chapter 4 covers HHC - Heuristic-based Clustering, an author name disambiguation method that is based on two specific real-world assumptions regarding scientific authorship. Then, Chapter 5 describes SAND - Self-training Author Name Disambiguator and Chapter 6 presents two incremental author name disambiguation methods, namely INDi - Incremental Unsupervised Name Disambiguation and INC- Incremental Nearest Cluster. Finally, Chapter 7 provides an overview of recent author name disambiguation methods that address new specific approaches such as graph-based representations, alternative predefined similarity functions, visualization facilities and approaches based on artificial neural networks. The chapters are followed by three appendices that cover, respectively: (i) a pattern matching function for comparing proper names and used by some of the methods addressed in this book; (ii) a tool for generating synthetic collections of citation records for distinct experimental tasks; and (iii) a number of datasets commonly used to evaluate author name disambiguation methods. In summary, the book organizes a large body of knowledge and work in the area of author name disambiguation in the last decade, hoping to consolidate a solid basis for future developments in the field.

String Processing and Information Retrieval

Автор: Gabriele Fici; Marinella Sciortino; Rossano Ventur
Название: String Processing and Information Retrieval
ISBN: 3319674277 ISBN-13(EAN): 9783319674278
Издательство: Springer
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Цена: 9083.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the proceedings of the 24th International Symposium on String Processing and Information Retrieval, SPIRE 2017, held in Palermo, Italy, in September 2017. They focus on fundamental studies on string processing and information retrieval, as well as on computational biology.

String Processing and Information Retrieval

Автор: Costas Iliopoulos; Simon Puglisi; Emine Yilmaz
Название: String Processing and Information Retrieval
ISBN: 3319238256 ISBN-13(EAN): 9783319238258
Издательство: Springer
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Цена: 7826.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the 22nd International Symposium on String Processing and Information Retrieval, SPIRE 2015, held in London, UK, in September 2015.

String Processing and Information Retrieval

Автор: Oren Kurland; Moshe Lewenstein; Ely Porat
Название: String Processing and Information Retrieval
ISBN: 3319024310 ISBN-13(EAN): 9783319024318
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the 20th International Symposium on String Processing and Information Retrieval, SPIRE 2013, held in Jerusalem, Israel, in October 2013. The 18 full papers, 10 short papers were carefully reviewed and selected from 60 submissions.

String Processing and Information Retrieval

Автор: Travis Gagie; Alistair Moffat; Gonzalo Navarro; Er
Название: String Processing and Information Retrieval
ISBN: 3030004783 ISBN-13(EAN): 9783030004781
Издательство: Springer
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Цена: 9222.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the 25th International Symposium on String Processing and Information Retrieval, SPIRE 2018, held in Lima, Peru, in October 2018. The 22 full papers and 6 short papers presented were carefully reviewed and selected from 51 submissions. They focus on fundamental studies on string processing and information retrieval, as well as on computational biology.

String Processing and Information Retrieval

Автор: Nieves R. Brisaboa; Simon J. Puglisi
Название: String Processing and Information Retrieval
ISBN: 3030326853 ISBN-13(EAN): 9783030326852
Издательство: Springer
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Цена: 11459.00 р.
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Описание: This volume constitutes the refereed proceedings of the 26th International Symposium on String Processing and Information Retrieval, SPIRE 2019, held in Segovia, Spain, in October 2019. The 28 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 59 submissions.

String Processing and Information Retrieval: 27th International Symposium, Spire 2020, Orlando, Fl, Usa, October 13-15, 2020, Proceedings

Автор: Boucher Christina, Thankachan Sharma V.
Название: String Processing and Information Retrieval: 27th International Symposium, Spire 2020, Orlando, Fl, Usa, October 13-15, 2020, Proceedings
ISBN: 3030592111 ISBN-13(EAN): 9783030592110
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the 27th International Symposium on String Processing and Information Retrieval, SPIRE 2020, held in Orlando, FL, USA, in October 2020. The 17 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 32 submissions. information retrieval;

String Processing and Information Retrieval: 28th International Symposium, SPIRE 2021, Lille, France, October 4-6, 2021, Proceedings

Автор: Lecroq Thierry, Touzet Hйlиne
Название: String Processing and Information Retrieval: 28th International Symposium, SPIRE 2021, Lille, France, October 4-6, 2021, Proceedings
ISBN: 3030866912 ISBN-13(EAN): 9783030866914
Издательство: Springer
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Цена: 9083.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the 27th International Symposium on String Processing and Information Retrieval, SPIRE 2021, held in Lille, France, in October 2021.*The 14 full papers and 4 short papers presented together with 2 invited papers in this volume were carefully reviewed and selected from 30 submissions.

String Processing and Information Retrieval

Автор: Jussi Karlgren; Jorma Tarhio; Heikki Hyyr?
Название: String Processing and Information Retrieval
ISBN: 3642037836 ISBN-13(EAN): 9783642037832
Издательство: Springer
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Цена: 10480.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The papers are organized in topical sections on algorithms on trees, compressed indexes, compression, indexing, content analysis, string algorithms and bioinformatics, string algorithms and theory, and using and understanding usage.

String Processing and Information Retrieval

Автор: Inenaga
Название: String Processing and Information Retrieval
ISBN: 331946048X ISBN-13(EAN): 9783319460482
Издательство: Springer
Рейтинг:
Цена: 6988.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the 23rd International Symposium on String Processing and Information Retrieval, SPIRE 2016, held in Beppu, Japan, in October 2016.


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