eBook - PDF

Graph-based Natural Language Processing and Information Retrieval

Name: Graph-based Natural Language Processing and Information Retrieval
Author: Rada Mihalcea,Dragomir Radev

Rada Mihalcea,

Dragomir Radev,

English
PDF
Available on iOS & Android

eBook - PDF

Graph-based Natural Language Processing and Information Retrieval

Rada Mihalcea,

Dragomir Radev,

About this book

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.

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Yes, you can access Graph-based Natural Language Processing and Information Retrieval by Rada Mihalcea,Dragomir Radev in PDF and/or ePUB format, as well as other popular books in Computer Science & Natural Language Processing. We have over one million books available in our catalogue for you to explore.