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Graph-based Natural Language Processing and Information Retrieval

in natural language processing and information retrieval that rely on graph-based representations and algorithms.;

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Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

named: Fundamental theory and methods of computational linguistics; Machine translation and multilingual information processing; Knowledge graph;

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Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

in topical sections named: semantics; machine translation; multilinguality in NLP; knowledge graph and information extraction; linguistic resource;

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Chinese Computational Linguistics and Natural Language Processing Based on Natur

; multilinguality in NLP; machine learning methods for NLP; knowledge graph and information extraction; discourse, coreference and pragmatics; information;

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Semantic Keyword-Based Search on Structured Data Sources

language searches, graph databases, information retrieval techniques for keyword search and document retrieval.;

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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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Chinese Computational Linguistics

in topical sections named: linguistics and cognitive science, fundamental theory and methods of computational linguistics, information retrieval and;

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Chinese Computational Linguistics

organized in topical sections named: fundamental theory and methods of computational linguistics; information retrieval, dialogue and question;

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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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Multimedia Information Retrieval

extended. Such an approach is known as the Content Based Information Retrieval (CBIR), and is the core of MIR. This novel content-based concept;

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Foundations of Statistical Natural Language Processing

disambiguation, probabilistic parsing, information retrieval, and other applications.;

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Intelligent Tools for Building a Scientific Information Platform

selection refers to the research in artificial intelligence, knowledge discovery and data mining, information retrieval and natural language;

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Representation Learning for Natural Language Processing

network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and;

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Representation Learning for Natural Language Processing

network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and;

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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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Mining Intelligence and Knowledge Exploration

topics such as information retrieval, feature selection, classification, clustering, image processing, network security, speech processing;

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Multidisciplinary Information Retrieval

research areas: information retrieval, semantic web technologies for IR, natural language processing for IR, and large-scale or distributed;

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Web and Big Data

Processing Techniques; Information Extraction and Retrieval; Recommender System; Spatial and Spatio-Temporal Databases; and Demo.;

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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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Mining Intelligence and Knowledge Exploration

. Accepted papers were grouped into various subtopics including information retrieval, machine learning, pattern recognition, knowledge discovery;

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Information Management and Big Data

issues such as data mining, artificial intelligence, Natural Language Processing, information retrieval, machine learning, web mining.;

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Natural Language Processing Recipes

, Stanford CoreNLP, and many more Implement the concepts of information retrieval, text summarization, sentiment analysis, and other advanced;

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Application of Graph Rewriting to Natural Language Processing

The paradigm of Graph Rewriting is used very little in the field of Natural Language Processing. But graphs are a natural way;

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Ontologies

retrieval of corporate information and knowledge and for enhanced Internet-based electronic commerce. In the second part of the book, the author;

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New Directions in Question Answering

, information retrieval, and human computer interaction. Question answering systems, which provide natural language responses to natural language;

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