Graph Based Natural Language Processing And Information Retrieval

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Graph Based Natural Language Processing And Information Retrieval

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Author : Rada Mihalcea
language : en
Publisher: Cambridge University Press
Release Date : 2011-04-11

Graph Based Natural Language Processing And Information Retrieval written by Rada Mihalcea and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-11 with Computers categories.

Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms.

Graph Based Natural Language Processing And Information Retrieval

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Author : Rada Mihalcea
language : en
Publisher:
Release Date : 2011

Graph Based Natural Language Processing And Information Retrieval written by Rada Mihalcea and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.

Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This 2011 book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms.

Graph Learning And Network Science For Natural Language Processing

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Author : Muskan Garg
language : en
Publisher: CRC Press
Release Date : 2022-12-28

Graph Learning And Network Science For Natural Language Processing written by Muskan Garg and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-28 with Business & Economics categories.

Advances in graph-based natural language processing (NLP) and information retrieval tasks have shown the importance of processing using the Graph of Words method. This book covers recent concrete information, from the basics to advanced level, about graph-based learning, such as neural network-based approaches, computational intelligence for learning parameters and feature reduction, and network science for graph-based NPL. It also contains information about language generation based on graphical theories and language models. Features: Presents a comprehensive study of the interdisciplinary graphical approach to NLP Covers recent computational intelligence techniques for graph-based neural network models Discusses advances in random walk-based techniques, semantic webs, and lexical networks Explores recent research into NLP for graph-based streaming data Reviews advances in knowledge graph embedding and ontologies for NLP approaches This book is aimed at researchers and graduate students in computer science, natural language processing, and deep and machine learning.

Information Retrieval And Natural Language Processing

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Author : Sheetal S. Sonawane
language : en
Publisher: Springer Nature
Release Date : 2022-02-22

Information Retrieval And Natural Language Processing written by Sheetal S. Sonawane and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-22 with Mathematics categories.

This book gives a comprehensive view of graph theory in informational retrieval (IR) and natural language processing(NLP). This book provides number of graph techniques for IR and NLP applications with examples. It also provides understanding of graph theory basics, graph algorithms and networks using graph. The book is divided into three parts and contains nine chapters. The first part gives graph theory basics and graph networks, and the second part provides basics of IR with graph-based information retrieval. The third part covers IR and NLP recent and emerging applications with case studies using graph theory. This book is unique in its way as it provides a strong foundation to a beginner in applying mathematical structure graph for IR and NLP applications. All technical details that include tools and technologies used for graph algorithms and implementation in Information Retrieval and Natural Language Processing with its future scope are explained in a clear and organized format.

Natural Language Processing And Information Retrieval

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Author : Muskan Garg
language : en
Publisher:
Release Date : 2023

Natural Language Processing And Information Retrieval written by Muskan Garg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with COMPUTERS categories.

This book presents the basics and recent advancements in natural language processing and information retrieval in a single volume. It will serve as an ideal reference text for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology. This text emphasizes the existing problem domains and possible new directions in natural language processing and information retrieval. It discusses the importance of information retrieval with the integration of machine learning, deep learning, and word embedding. This approach supports the quick evaluation of real-time data. It covers important topics including rumor detection techniques, sentiment analysis using graph-based techniques, social media data analysis, and language-independent text mining.Features: Covers aspects of information retrieval in different areas including healthcare, data analysis, and machine translation Discusses recent advancements in language- and domain-independent information extraction from textual and/or multimodal data Explains models including decision making, random walk, knowledge graphs, word embedding, n-grams, and frequent pattern mining Provides integrated approaches of machine learning, deep learning, and word embedding for natural language processing Covers latest datasets for natural language processing and information retrieval for social media like Twitter The text is primarily written for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology.

Linguistics And Language Behavior Abstracts

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Author :
language : en
Publisher:
Release Date : 2008

Linguistics And Language Behavior Abstracts written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Language and languages categories.

Computational Linguistics And Intelligent Text Processing

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Author :
language : en
Publisher:
Release Date : 2006

Computational Linguistics And Intelligent Text Processing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computational linguistics categories.

Using Graphs And Random Walks For Discovering Latent Semantic Relationships In Text

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Author : Güneş Erkan
language : en
Publisher:
Release Date : 2007

Using Graphs And Random Walks For Discovering Latent Semantic Relationships In Text written by Güneş Erkan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.

Practical Natural Language Processing Question Answering Using Graphs

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Author : Gil Emanuel Fuchs
language : en
Publisher:
Release Date : 2004

Practical Natural Language Processing Question Answering Using Graphs written by Gil Emanuel Fuchs and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.

Conference Proceedings

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Author :
language : en
Publisher:
Release Date : 1993

Conference Proceedings written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Electronic data processing documentation categories.