Anaphora Analysis Algorithms And Applications
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Anaphora Analysis Algorithms And Applications
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Author : António Branco
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-03-16
Anaphora Analysis Algorithms And Applications written by António Branco and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-03-16 with Language Arts & Disciplines categories.
This book constitutes revised selected papers of the 6th Discourse Anaphora and Anaphor Resolution Colloquium, DAARC 2007, held in Lagos, Portugal in March 2007. The 13 revised full papers are organized in topical sections on human processing and performance, language analysis and representation, resolution methodology and algorithms, as well as computational systems and applications.
Anaphora Analysis Algorithms And Applications
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Author : António Branco
language : en
Publisher: Springer
Release Date : 2007-05-31
Anaphora Analysis Algorithms And Applications written by António Branco and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-31 with Language Arts & Disciplines categories.
This book constitutes revised selected papers of the 6th Discourse Anaphora and Anaphor Resolution Colloquium, DAARC 2007, held in Lagos, Portugal in March 2007. The 13 revised full papers are organized in topical sections on human processing and performance, language analysis and representation, resolution methodology and algorithms, as well as computational systems and applications.
Anaphora Resolution
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Author : Massimo Poesio
language : en
Publisher: Springer
Release Date : 2016-08-04
Anaphora Resolution written by Massimo Poesio and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-04 with Computers categories.
This book lays out a path leading from the linguistic and cognitive basics, to classical rule-based and machine learning algorithms, to today’s state-of-the-art approaches, which use advanced empirically grounded techniques, automatic knowledge acquisition, and refined linguistic modeling to make a real difference in real-world applications. Anaphora and coreference resolution both refer to the process of linking textual phrases (and, consequently, the information attached to them) within as well as across sentence boundaries, and to the same discourse referent. The book offers an overview of recent research advances, focusing on practical, operational approaches and their applications. In part I (Background), it provides a general introduction, which succinctly summarizes the linguistic, cognitive, and computational foundations of anaphora processing and the key classical rule- and machine-learning-based anaphora resolution algorithms. Acknowledging the central importance of shared resources, part II (Resources) covers annotated corpora, formal evaluation, preprocessing technology, and off-the-shelf anaphora resolution systems. Part III (Algorithms) provides a thorough description of state-of-the-art anaphora resolution algorithms, covering enhanced machine learning methods as well as techniques for accomplishing important subtasks such as mention detection and acquisition of relevant knowledge. Part IV (Applications) deals with a selection of important anaphora and coreference resolution applications, discussing particular scenarios in diverse domains and distilling a best-practice model for systematically approaching new application cases. In the concluding part V (Outlook), based on a survey conducted among the contributing authors, the prospects of the research field of anaphora processing are discussed, and promising new areas of interdisciplinary cooperation and emerging application scenarios are identified. Given the book’s design, it can be used both as an accompanying text for advanced lectures in computational linguistics, natural language engineering, and computer science, and as a reference work for research and independent study. It addresses an audience that includes academic researchers, university lecturers, postgraduate students, advanced undergraduate students, industrial researchers, and software engineers.
The Oxford Handbook Of Computational Linguistics
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Author : Ruslan Mitkov
language : en
Publisher: Oxford University Press
Release Date : 2022
The Oxford Handbook Of Computational Linguistics written by Ruslan Mitkov and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Computers categories.
Provides a comprehensive account of current research in computational linguistics, Fully revised and updated throughout, including 37 new chapters, Features an extended glossary to explain key terms and concepts Book jacket.
The Handbook Of Computational Linguistics And Natural Language Processing
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Author : Alexander Clark
language : en
Publisher: John Wiley & Sons
Release Date : 2013-04-24
The Handbook Of Computational Linguistics And Natural Language Processing written by Alexander Clark and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-24 with Language Arts & Disciplines categories.
This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies
Understanding Meaning And Knowledge Representation
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Author : Eva Mestre Mestre
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2016-01-14
Understanding Meaning And Knowledge Representation written by Eva Mestre Mestre and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-14 with Language Arts & Disciplines categories.
Today, there is a need to develop natural language processing (NLP) systems from deeper linguistic approaches. Although there are many NLP applications which can work without taking into account any linguistic theory, this type of system can only be described as “deceptively intelligent”. On the other hand, however, those computer programs requiring some language comprehension capability should be grounded in a robust linguistic model if they are to display the expected behaviour. The purpose of this book is to examine and discuss recent work in meaning and knowledge representation within theoretical linguistics and cognitive linguistics, particularly research which can be reused to model NLP applications.
Understanding Natural Language Understanding
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Author : Erik Cambria
language : en
Publisher: Springer Nature
Release Date : 2024-10-22
Understanding Natural Language Understanding written by Erik Cambria and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-22 with Computers categories.
About half a century ago, AI pioneers like Marvin Minsky embarked on the ambitious project of emulating how the human mind encodes and decodes meaning. While today we have a better understanding of the brain thanks to neuroscience, we are still far from unlocking the secrets of the mind, especially when it comes to language, the prime example of human intelligence. “Understanding natural language understanding”, i.e., understanding how the mind encodes and decodes meaning through language, is a significant milestone in our journey towards creating machines that genuinely comprehend human language. Large language models (LLMs) such as GPT-4 have astounded us with their ability to generate coherent, contextually relevant text, seemingly bridging the gap between human and machine communication. Yet, despite their impressive capabilities, these models operate on statistical patterns rather than true comprehension. This textbook delves into the nuanced differences between these two paradigms and explores the future of AI as we strive to achieve true natural language understanding (NLU). LLMs excel at identifying and replicating patterns within vast datasets, producing responses that appear intelligent and meaningful. They can generate text that mimics human writing styles, provide summaries of complex documents, and even engage in extended dialogues with users. However, their limitations become evident when they encounter tasks that require deeper understanding, reasoning, and contextual knowledge. An NLU system that deconstructs meaning leveraging linguistics and semiotics (on top of statistical analysis) represents a more profound level of language comprehension. It involves understanding context in a manner similar to human cognition, discerning subtle meanings, implications, and nuances that current LLMs might miss or misinterpret. NLU grasps the semantics behind words and sentences, comprehending synonyms, metaphors, idioms, and abstract concepts with precision. This textbook explores the current state of LLMs, their capabilities and limitations, and contrasts them with the aspirational goals of NLU. The author delves into the technical foundations required for achieving true NLU, including advanced knowledge representation, hybrid AI systems, and neurosymbolic integration, while also examining the ethical implications and societal impacts of developing AI systems that genuinely understand human language. Containing exercises, a final assignment and a comprehensive quiz, the textbook is meant as a reference for courses on information retrieval, AI, NLP, data analytics, data mining and more.
The Oxford Handbook Of Experimental Semantics And Pragmatics
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Author : Chris Cummins
language : en
Publisher: Oxford University Press
Release Date : 2019-03-19
The Oxford Handbook Of Experimental Semantics And Pragmatics written by Chris Cummins and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-19 with Language Arts & Disciplines categories.
This handbook is the first to explore the growing field of experimental semantics and pragmatics. In the past 20 years, experimental data has become a major source of evidence for building theories of language meaning and use, encompassing a wide range of topics and methods. Following an introduction from the editors, the chapters in this volume offer an up-to-date account of research in the field spanning 31 different topics, including scalar implicatures, presuppositions, counterfactuals, quantification, metaphor, prosody, and politeness, as well as exploring how and why a particular experimental method is suitable for addressing a given theoretical debate. The volume's forward-looking approach also seeks to actively identify questions and methods that could be fruitfully combined in future experimental research. Written in a clear and accessible style, this handbook will appeal to students and scholars from advanced undergraduate level upwards in a range of fields, including semantics and pragmatics, philosophy of language, psycholinguistics, computational linguistics, cognitive science, and neuroscience.
Big Data Analytics Systems Algorithms Applications
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Author : C.S.R. Prabhu
language : en
Publisher: Springer Nature
Release Date : 2019-10-14
Big Data Analytics Systems Algorithms Applications written by C.S.R. Prabhu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-14 with Computers categories.
This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy. With regard to machine learning techniques, the book presents all the standard algorithms for learning – including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered. In turn, the book highlights real-life case studies on successful implementations of Big Data Analytics at large IT companies such as Google, Facebook, LinkedIn and Microsoft. Multi-sectorial case studies on domain-based companies such as Deutsche Bank, the power provider Opower, Delta Airlines and a Chinese City Transportation application represent a valuable addition. Given its comprehensive coverage of Big Data Analytics, the book offers a unique resource for undergraduate and graduate students, researchers, educators and IT professionals alike.
The Oxford Handbook Of Computational Linguistics
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Author : Ruslan Mitkov
language : en
Publisher: Oxford University Press
Release Date : 2004
The Oxford Handbook Of Computational Linguistics written by Ruslan Mitkov and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.
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.