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Information Retrieval

This book is an essential reference to cutting-edge issues and future directions in information retrieval Information retrieval (IR) can;

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Statistical Language Models for Information Retrieval

been a central research problem in information retrieval for several decades. In the past ten years, a new generation of retrieval models;

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Graph-based Natural Language Processing and Information Retrieval

Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these;

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Cross-Language Information Retrieval

languages. This gives rise to the problem of cross-language information retrieval (CLIR), whose goal is to find relevant information written in a;

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Multimedia Information Retrieval

Novel processing and searching tools for the management of new multimedia documents have developed. Multimedia Information Retrieval (MIR;

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Knowledge Organization and Classification in International Information Retrieval

in International Information Retrieval examines current efforts to deal with the increasing globalization of information and knowledge. International;

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An Introduction to Neural Information Retrieval

Neural models have been employed in many Information Retrieval scenarios, including ad-hoc retrieval, recommender systems, multi-media;

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Information Retrieval

requests? The authors answer these and other key information retrieval design and implementation questions. This book is not yet another high;

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Multidisciplinary Information Retrieval

This book constitutes the proceedings of the Second Information Retrieval Facility Conference, IRFC 2011, held in Vienna, Austria, in June;

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Experimental IR Meets Multilinguality Multimodality and Interaction

workshops designed to test different aspects of mono and cross-language information retrieval systems.;

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Multimedia Information Extraction

a need not only for multimedia retrieval but also information extraction from and across media. Furthermore, industrial and government;

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String Processing and Information Retrieval

); information retrieval languages, applications, and evaluation (IR modeling, indexing, ranking and ?ltering, - terface design, visualization, cross;

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Text-based intelligent Systems

extraction task is a hot topic for the field of natural language processing and the retrieval task is a solid aspect in the field of information;

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Text-based intelligent Systems

extraction task is a hot topic for the field of natural language processing and the retrieval task is a solid aspect in the field of information;

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Interactive Information Retrieval in Digital Environments

The emergence of the Internet allows millions of people to use a variety of electronic information retrieval systems, such as: digital;

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Indexing and Retrieval of Non-Text Information

The scope of this volume will encompass a collection of research papers related to indexing and retrieval of online non-text information;

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Machine Learning for Text

intersecting topics of information retrieval, machine learning, and natural language processing. Particular importance is placed on deep learning;

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Text Retrieval and Filtering

as a secondary text for a graduate level course on Information Retrieval or Linguistics, and as a reference for researchers and practitioners;

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Indexing Multimedia and Creative Works

Indexing and information retrieval work properly only if language and interpretation are shared by creator and user. This is more complex;

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Indexing Multimedia and Creative Works

Indexing and information retrieval work properly only if language and interpretation are shared by creator and user. This is more complex;

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Advances in Distributed Agent-Based Retrieval Tools

Agent-based Retrieval Tools (DART'10) held in June 2010, in conjunction with the Symposium on Human Language Technology for the Information;

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Intelligent Multimedia Information Retrieval

Foreword by Karen Sparck Jones Intelligent multimedia information retrieval lies at the intersection of artificial intelligence;

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Critical Approaches to Information Retrieval Research

Information retrieval (IR) is considered to be the science of searching for information from a variety of information sources related to;

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Information Retrieval

An introduction to information retrieval, the foundation for modern search engines, that emphasizes implementation and experimentation;

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Neural Networks for Natural Language Processing

translation and conversation problems, and apply deep structured semantic models on information retrieval and natural language applications. While;

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Neural Networks for Natural Language Processing

translation and conversation problems, and apply deep structured semantic models on information retrieval and natural language applications. While;

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