Semantic Role Labeling

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Semantic Role Labeling

Author : Martha Palmer
Publisher : Springer Nature
ISBN 13 : 3031021355
Total Pages : 95 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Semantic Role Labeling by : Martha Palmer

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

Semantic Role Labeling

Author : Martha Palmer
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1598298321
Total Pages : 103 pages
Book Rating : 4.5/5 (982 download)

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Book Synopsis Semantic Role Labeling by : Martha Palmer

Download or read book Semantic Role Labeling written by Martha Palmer and published by Morgan & Claypool Publishers. This book was released on 2011-02-02 with total page 103 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

Hands-On Natural Language Processing with Python

Author : Rajesh Arumugam
Publisher : Packt Publishing Ltd
ISBN 13 : 1789135915
Total Pages : 307 pages
Book Rating : 4.7/5 (891 download)

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Book Synopsis Hands-On Natural Language Processing with Python by : Rajesh Arumugam

Download or read book Hands-On Natural Language Processing with Python written by Rajesh Arumugam and published by Packt Publishing Ltd. This book was released on 2018-07-18 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foster your NLP applications with the help of deep learning, NLTK, and TensorFlow Key Features Weave neural networks into linguistic applications across various platforms Perform NLP tasks and train its models using NLTK and TensorFlow Boost your NLP models with strong deep learning architectures such as CNNs and RNNs Book Description Natural language processing (NLP) has found its application in various domains, such as web search, advertisements, and customer services, and with the help of deep learning, we can enhance its performances in these areas. Hands-On Natural Language Processing with Python teaches you how to leverage deep learning models for performing various NLP tasks, along with best practices in dealing with today’s NLP challenges. To begin with, you will understand the core concepts of NLP and deep learning, such as Convolutional Neural Networks (CNNs), recurrent neural networks (RNNs), semantic embedding, Word2vec, and more. You will learn how to perform each and every task of NLP using neural networks, in which you will train and deploy neural networks in your NLP applications. You will get accustomed to using RNNs and CNNs in various application areas, such as text classification and sequence labeling, which are essential in the application of sentiment analysis, customer service chatbots, and anomaly detection. You will be equipped with practical knowledge in order to implement deep learning in your linguistic applications using Python's popular deep learning library, TensorFlow. By the end of this book, you will be well versed in building deep learning-backed NLP applications, along with overcoming NLP challenges with best practices developed by domain experts. What you will learn Implement semantic embedding of words to classify and find entities Convert words to vectors by training in order to perform arithmetic operations Train a deep learning model to detect classification of tweets and news Implement a question-answer model with search and RNN models Train models for various text classification datasets using CNN Implement WaveNet a deep generative model for producing a natural-sounding voice Convert voice-to-text and text-to-voice Train a model to convert speech-to-text using DeepSpeech Who this book is for Hands-on Natural Language Processing with Python is for you if you are a developer, machine learning or an NLP engineer who wants to build a deep learning application that leverages NLP techniques. This comprehensive guide is also useful for deep learning users who want to extend their deep learning skills in building NLP applications. All you need is the basics of machine learning and Python to enjoy the book.

Speech & Language Processing

Author : Dan Jurafsky
Publisher : Pearson Education India
ISBN 13 : 9788131716724
Total Pages : 912 pages
Book Rating : 4.7/5 (167 download)

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Book Synopsis Speech & Language Processing by : Dan Jurafsky

Download or read book Speech & Language Processing written by Dan Jurafsky and published by Pearson Education India. This book was released on 2000-09 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Oxford Handbook of Computational Linguistics

Author : Ruslan Mitkov
Publisher : Oxford University Press
ISBN 13 : 019927634X
Total Pages : 808 pages
Book Rating : 4.1/5 (992 download)

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Book Synopsis The Oxford Handbook of Computational Linguistics by : Ruslan Mitkov

Download or read book The Oxford Handbook of Computational Linguistics written by Ruslan Mitkov and published by Oxford University Press. This book was released on 2004 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook of computational linguistics, written for academics, graduate students and researchers, provides a state-of-the-art reference to one of the most active and productive fields in linguistics.

Chinese Lexical Semantics

Author : Jia-Fei Hong
Publisher : Springer Nature
ISBN 13 : 3030381897
Total Pages : 873 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Chinese Lexical Semantics by : Jia-Fei Hong

Download or read book Chinese Lexical Semantics written by Jia-Fei Hong and published by Springer Nature. This book was released on 2020-01-03 with total page 873 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the 20th Chinese Lexical Semantics Workshop, CLSW 2019, held in Chiayi, Taiwan, in June 2019. The 39 full papers and 46 short papers included in this volume were carefully reviewed and selected from 254 submissions. They are organized in the following topical sections: lexical semantics; applications of natural language processing; lexical resources; corpus linguistics.

Mining Intelligence and Knowledge Exploration

Author : Purushothama B. R.
Publisher : Springer Nature
ISBN 13 : 3030661873
Total Pages : 357 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Mining Intelligence and Knowledge Exploration by : Purushothama B. R.

Download or read book Mining Intelligence and Knowledge Exploration written by Purushothama B. R. and published by Springer Nature. This book was released on 2020-12-19 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 7th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2019, held in Goa, India, in December 2019. The 31 full papers were carefully reviewed and selected from 83 submissions. The accepted papers were chosen on the basis of research excellence, which provides a body of literature for researchers involved in exploring, developing, and validating learning algorithms and knowledge-discovery techniques. Accepted papers were grouped into various subtopics including evolutionary computation, knowledge exploration in IoT, artificial intelligence, machine learning, image processing, pattern recognition, speech processing, information retrieval, natural language processing, social network analysis, security, fuzzy rough sets, and other areas.

Memory-Based Language Processing

Author : Walter Daelemans
Publisher : Cambridge University Press
ISBN 13 : 1139445367
Total Pages : 199 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Memory-Based Language Processing by : Walter Daelemans

Download or read book Memory-Based Language Processing written by Walter Daelemans and published by Cambridge University Press. This book was released on 2005-09-01 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Memory-based language processing - a machine learning and problem solving method for language technology - is based on the idea that the direct reuse of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information. By applying the model to a range of benchmark problems, the authors show that for linguistic areas ranging from phonology to semantics, it produces excellent results. They also describe TiMBL, a software package for memory-based language processing. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers.

Chinese Lexical Semantics

Author : Yunfang Wu
Publisher : Springer
ISBN 13 : 331973573X
Total Pages : 602 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Chinese Lexical Semantics by : Yunfang Wu

Download or read book Chinese Lexical Semantics written by Yunfang Wu and published by Springer. This book was released on 2018-01-18 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the 18th Chinese Lexical Semantics Workshop, CLSW 2017, held in Leshan, China, in May 2017. The 48 full papers and 5 short papers included in this volume were carefully reviewed and selected from 176 submissions. They are organized in the following topical sections: lexical semantics; applications of natural language processing; lexical resources; and corpus linguistics.

Natural Language Annotation for Machine Learning

Author : James Pustejovsky
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449306667
Total Pages : 344 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Natural Language Annotation for Machine Learning by : James Pustejovsky

Download or read book Natural Language Annotation for Machine Learning written by James Pustejovsky and published by "O'Reilly Media, Inc.". This book was released on 2013 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes bibliographical references (p. 305-315) and index.

English Verb Classes and Alternations

Author : Beth Levin
Publisher : University of Chicago Press
ISBN 13 : 0226475336
Total Pages : 366 pages
Book Rating : 4.2/5 (264 download)

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Book Synopsis English Verb Classes and Alternations by : Beth Levin

Download or read book English Verb Classes and Alternations written by Beth Levin and published by University of Chicago Press. This book was released on 1993-09 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this rich reference work, Beth Levin classifies over 3,000 English verbs according to shared meaning and behavior. Levin starts with the hypothesis that a verb's meaning influences its syntactic behavior and develops it into a powerful tool for studying the English verb lexicon. She shows how identifying verbs with similar syntactic behavior provides an effective means of distinguishing semantically coherent verb classes, and isolates these classes by examining verb behavior with respect to a wide range of syntactic alternations that reflect verb meaning. The first part of the book sets out alternate ways in which verbs can express their arguments. The second presents classes of verbs that share a kernel of meaning and explores in detail the behavior of each class, drawing on the alternations in the first part. Levin's discussion of each class and alternation includes lists of relevant verbs, illustrative examples, comments on noteworthy properties, and bibliographic references. The result is an original, systematic picture of the organization of the verb inventory. Easy to use, English Verb Classes and Alternations sets the stage for further explorations of the interface between lexical semantics and syntax. It will prove indispensable for theoretical and computational linguists, psycholinguists, cognitive scientists, lexicographers, and teachers of English as a second language.

The Structure of Modern English

Author : Laurel J. Brinton
Publisher : John Benjamins Publishing
ISBN 13 : 9027225672
Total Pages : 357 pages
Book Rating : 4.0/5 (272 download)

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Book Synopsis The Structure of Modern English by : Laurel J. Brinton

Download or read book The Structure of Modern English written by Laurel J. Brinton and published by John Benjamins Publishing. This book was released on 2000-01-01 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is designed for undergraduate and graduate students interested in contemporary English, especially those whose primary area of interest is English as a second language. Focus is placed exclusively on English data, providing an empirical explication of the structure of the language.

Law and the Semantic Web

Author : V. Richard Benjamins
Publisher : Springer
ISBN 13 : 3540322531
Total Pages : 252 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Law and the Semantic Web by : V. Richard Benjamins

Download or read book Law and the Semantic Web written by V. Richard Benjamins and published by Springer. This book was released on 2005-02-09 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: by Roberto Cencioni At the Lisbon Summit in March 2000, European heads of state and government set a new goal for the European Union — to become the most competitive knowled- based society in the world by 2010. As part of this objective, ICT (information and communication technologies) services should become available for every citizen, and for all schools, homes and businesses. The book you have in front of you is about Semantic Web technology and law. Law is something omnipresent; all citizens — at some points in their lives — have to deal with it. In addition, law involves a large group of professionals, and is a mul- billion business world wide. Information technology is important because it that can improve citizens’ interaction with law, as well as improve legal professionals’ work environment. Legal professionals dedicate a significant amount of their time to finding, reading, analyzing and synthesizing information in order to take decisions, and prepare advice and trials, among other tasks. As part of the “Semantic-Based Knowledge and Content Systems” Strategic Objective, the European Commission is funding projects to construct technology to make the Semantic Web vision come true. 1 The articles in this book are related to two current foci of the Strategic Objective : • Knowledge acquisition and modelling, capturing knowledge from raw information and multimedia content in webs and other distributed repositories to turn poorly structured information into machi- processable knowledge.

Advanced Technologies, Systems, and Applications VI

Author : Naida Ademović
Publisher : Springer Nature
ISBN 13 : 303090055X
Total Pages : 803 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Advanced Technologies, Systems, and Applications VI by : Naida Ademović

Download or read book Advanced Technologies, Systems, and Applications VI written by Naida Ademović and published by Springer Nature. This book was released on 2021-11-16 with total page 803 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the innovative and interdisciplinary application of advanced technologies. It includes the scientific outcomes and results of the conference 12th Day of Bosnian-Herzegovinian American Academy of Art and Sciences held in Mostar, Bosnia, and Herzegovina, June 24-27, 2021. The latest developments in various fields of engineering have been presented through various papers in civil engineering, mechanical engineering, computing, electrical and electronics engineering, and others. A new session, Sustainable Urban Development: Designing Smart, Inclusive and Resilient Cities, was organized, enabling experts in this field to exchange their knowledge and expertise.

Robust Semantic Role Labeling

Author : Yi Szu-Ting
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659691966
Total Pages : 172 pages
Book Rating : 4.6/5 (919 download)

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Book Synopsis Robust Semantic Role Labeling by : Yi Szu-Ting

Download or read book Robust Semantic Role Labeling written by Yi Szu-Ting and published by LAP Lambert Academic Publishing. This book was released on 2015-05-25 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Correctly identifying semantic entities and successfully disambiguating the relations between them and their predicates is an important and necessary step for successful natural language processing applications, such as text summarization, question answering, and machine translation. Researchers have studied this problem, semantic role labeling (SRL), as a machine learning problem since 2000. However, after using an optimal global inference algorithm to combine several SRL systems, the growth of SRL performance seems to have reached a plateau. Syntactic parsing is the bottleneck of the task of semantic role labeling and robustness is the ultimate goal. In this book, we investigate ways to train a better syntactic parser and increase SRL system robustness. We demonstrate that parse trees augmented by semantic role markups can serve as suitable training data for training a parser for an SRL system. For system robustness, we propose that it is easier to learn a new set of semantic roles. The new roles are less verb- dependent than the original PropBank roles. As a result, the SRL system trained on the new roles achieves significantly better robustness.

Information Extraction: Algorithms and Prospects in a Retrieval Context

Author : Marie-Francine Moens
Publisher : Springer Science & Business Media
ISBN 13 : 1402049935
Total Pages : 255 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Information Extraction: Algorithms and Prospects in a Retrieval Context by : Marie-Francine Moens

Download or read book Information Extraction: Algorithms and Prospects in a Retrieval Context written by Marie-Francine Moens and published by Springer Science & Business Media. This book was released on 2006-10-10 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers content recognition in text, elaborating on past and current most successful algorithms and their application in a variety of settings: news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text. Today, there is considerable interest in integrating the results of information extraction in retrieval systems, because of the demand for search engines that return precise answers to flexible information queries.

Multilingual Natural Language Processing Applications

Author : Daniel Bikel
Publisher : IBM Press
ISBN 13 : 0137047819
Total Pages : 829 pages
Book Rating : 4.1/5 (37 download)

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Book Synopsis Multilingual Natural Language Processing Applications by : Daniel Bikel

Download or read book Multilingual Natural Language Processing Applications written by Daniel Bikel and published by IBM Press. This book was released on 2012-05-11 with total page 829 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multilingual Natural Language Processing Applications is the first comprehensive single-source guide to building robust and accurate multilingual NLP systems. Edited by two leading experts, it integrates cutting-edge advances with practical solutions drawn from extensive field experience. Part I introduces the core concepts and theoretical foundations of modern multilingual natural language processing, presenting today’s best practices for understanding word and document structure, analyzing syntax, modeling language, recognizing entailment, and detecting redundancy. Part II thoroughly addresses the practical considerations associated with building real-world applications, including information extraction, machine translation, information retrieval/search, summarization, question answering, distillation, processing pipelines, and more. This book contains important new contributions from leading researchers at IBM, Google, Microsoft, Thomson Reuters, BBN, CMU, University of Edinburgh, University of Washington, University of North Texas, and others. Coverage includes Core NLP problems, and today’s best algorithms for attacking them Processing the diverse morphologies present in the world’s languages Uncovering syntactical structure, parsing semantics, using semantic role labeling, and scoring grammaticality Recognizing inferences, subjectivity, and opinion polarity Managing key algorithmic and design tradeoffs in real-world applications Extracting information via mention detection, coreference resolution, and events Building large-scale systems for machine translation, information retrieval, and summarization Answering complex questions through distillation and other advanced techniques Creating dialog systems that leverage advances in speech recognition, synthesis, and dialog management Constructing common infrastructure for multiple multilingual text processing applications This book will be invaluable for all engineers, software developers, researchers, and graduate students who want to process large quantities of text in multiple languages, in any environment: government, corporate, or academic.