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Book Empirical Methods in Natural Language Generation

Download or read book Empirical Methods in Natural Language Generation written by Emiel Krahmer and published by Springer Science & Business Media. This book was released on 2010-09-09 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically converting non-linguistic representations (e.g., from databases or other knowledge sources) into coherent natural language text. In recent years the field has evolved substantially. Perhaps the most important new development is the current emphasis on data-oriented methods and empirical evaluation. Progress in related areas such as machine translation, dialogue system design and automatic text summarization and the resulting awareness of the importance of language generation, the increasing availability of suitable corpora in recent years, and the organization of shared tasks for NLG, where different teams of researchers develop and evaluate their algorithms on a shared, held out data set have had a considerable impact on the field, and this book offers the first comprehensive overview of recent empirically oriented NLG research.

Book Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing

Download or read book Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing written by Conference on Empirical Methods in Natural Language Processing and published by . This book was released on 2001 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing

Download or read book Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing written by Jan? Hajǐc and published by . This book was released on 2002 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Proceedings of the Conference on Empirical Methods in Natural Language Processing

Download or read book Proceedings of the Conference on Empirical Methods in Natural Language Processing written by Mirella Lapata and published by . This book was released on 2008 with total page 1129 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The 3rd International Conference on Artificial Intelligence and Computer Vision  AICV2023   March 5   7  2023

Download or read book The 3rd International Conference on Artificial Intelligence and Computer Vision AICV2023 March 5 7 2023 written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2023-02-28 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 3rd International Conference on Artificial Intelligence and Computer Vision (AICV’2023) which will be held in Marrakesh, Morocco, during March 05–07, 2023. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the computer, Networks, Mobility and Modeling Laboratory (IR2M), Faculty of Sciences and Techniques, Hassan First University, Settat, Morocco, the Scientific Research Group in Egypt (SRGE), Cairo University, and the Automated Systems & Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh, Saudi Arabia. The book is divided into sections, covering the following topics: swarm-based optimization mining and data analysis, deep learning and applications, machine learning and applications, image processing and computer vision, sentiment analysis, and recommendation systems, and software-defined network and telecommunication.

Book

    Book Details:
  • Author :
  • Publisher : IOS Press
  • Release :
  • ISBN :
  • Pages : 4947 pages

Download or read book written by and published by IOS Press. This book was released on with total page 4947 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Natural Language Processing and Information Retrieval

Download or read book Natural Language Processing and Information Retrieval written by Muskan Garg and published by CRC Press. This book was released on 2023-11-28 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing

Download or read book Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing written by Conference on Empirical Methods in Natural Language Processing and published by . This book was released on 2003 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing

Download or read book Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing written by Association for Computational Linguistics Special Interest Group for Linguistic Data and Corpus Based Approaches to NLP and published by . This book was released on 2009 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Semantic Role Labeling

    Book Details:
  • Author : Martha Palmer
  • Publisher : Springer Nature
  • Release : 2022-05-31
  • ISBN : 3031021355
  • Pages : 95 pages

Download or read book Semantic Role Labeling written by Martha Palmer and published by Springer Nature. This book was released on 2022-05-31 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is aimed at providing an overview of several aspects of semantic role labeling. Chapter 1 begins with linguistic background on the definition of semantic roles and the controversies surrounding them. Chapter 2 describes how the theories have led to structured lexicons such as FrameNet, VerbNet and the PropBank Frame Files that in turn provide the basis for large scale semantic annotation of corpora. This data has facilitated the development of automatic semantic role labeling systems based on supervised machine learning techniques. Chapter 3 presents the general principles of applying both supervised and unsupervised machine learning to this task, with a description of the standard stages and feature choices, as well as giving details of several specific systems. Recent advances include the use of joint inference to take advantage of context sensitivities, and attempts to improve performance by closer integration of the syntactic parsing task with semantic role labeling. Chapter 3 also discusses the impact the granularity of the semantic roles has on system performance. Having outlined the basic approach with respect to English, Chapter 4 goes on to discuss applying the same techniques to other languages, using Chinese as the primary example. Although substantial training data is available for Chinese, this is not the case for many other languages, and techniques for projecting English role labels onto parallel corpora are also presented. Table of Contents: Preface / Semantic Roles / Available Lexical Resources / Machine Learning for Semantic Role Labeling / A Cross-Lingual Perspective / Summary