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Collaborative Annotation for Reliable Natural Language Processing

Collaborative Annotation for Reliable Natural Language Processing PDF Author: Karën Fort
Publisher: John Wiley & Sons
ISBN: 1848219040
Category : Computers
Languages : en
Pages : 192

Book Description
This book presents a unique opportunity for constructing a consistent image of collaborative manual annotation for Natural Language Processing (NLP). NLP has witnessed two major evolutions in the past 25 years: firstly, the extraordinary success of machine learning, which is now, for better or for worse, overwhelmingly dominant in the field, and secondly, the multiplication of evaluation campaigns or shared tasks. Both involve manually annotated corpora, for the training and evaluation of the systems. These corpora have progressively become the hidden pillars of our domain, providing food for our hungry machine learning algorithms and reference for evaluation. Annotation is now the place where linguistics hides in NLP. However, manual annotation has largely been ignored for some time, and it has taken a while even for annotation guidelines to be recognized as essential. Although some efforts have been made lately to address some of the issues presented by manual annotation, there has still been little research done on the subject. This book aims to provide some useful insights into the subject. Manual corpus annotation is now at the heart of NLP, and is still largely unexplored. There is a need for manual annotation engineering (in the sense of a precisely formalized process), and this book aims to provide a first step towards a holistic methodology, with a global view on annotation.

Collaborative Annotation for Reliable Natural Language Processing

Collaborative Annotation for Reliable Natural Language Processing PDF Author: Karën Fort
Publisher: John Wiley & Sons
ISBN: 1848219040
Category : Computers
Languages : en
Pages : 192

Book Description
This book presents a unique opportunity for constructing a consistent image of collaborative manual annotation for Natural Language Processing (NLP). NLP has witnessed two major evolutions in the past 25 years: firstly, the extraordinary success of machine learning, which is now, for better or for worse, overwhelmingly dominant in the field, and secondly, the multiplication of evaluation campaigns or shared tasks. Both involve manually annotated corpora, for the training and evaluation of the systems. These corpora have progressively become the hidden pillars of our domain, providing food for our hungry machine learning algorithms and reference for evaluation. Annotation is now the place where linguistics hides in NLP. However, manual annotation has largely been ignored for some time, and it has taken a while even for annotation guidelines to be recognized as essential. Although some efforts have been made lately to address some of the issues presented by manual annotation, there has still been little research done on the subject. This book aims to provide some useful insights into the subject. Manual corpus annotation is now at the heart of NLP, and is still largely unexplored. There is a need for manual annotation engineering (in the sense of a precisely formalized process), and this book aims to provide a first step towards a holistic methodology, with a global view on annotation.

Collaborative Annotation for Reliable Natural Language Processing

Collaborative Annotation for Reliable Natural Language Processing PDF Author: Karën Fort
Publisher: John Wiley & Sons
ISBN: 1119307643
Category : Computers
Languages : en
Pages : 192

Book Description
This book presents a unique opportunity for constructing a consistent image of collaborative manual annotation for Natural Language Processing (NLP). NLP has witnessed two major evolutions in the past 25 years: firstly, the extraordinary success of machine learning, which is now, for better or for worse, overwhelmingly dominant in the field, and secondly, the multiplication of evaluation campaigns or shared tasks. Both involve manually annotated corpora, for the training and evaluation of the systems. These corpora have progressively become the hidden pillars of our domain, providing food for our hungry machine learning algorithms and reference for evaluation. Annotation is now the place where linguistics hides in NLP. However, manual annotation has largely been ignored for some time, and it has taken a while even for annotation guidelines to be recognized as essential. Although some efforts have been made lately to address some of the issues presented by manual annotation, there has still been little research done on the subject. This book aims to provide some useful insights into the subject. Manual corpus annotation is now at the heart of NLP, and is still largely unexplored. There is a need for manual annotation engineering (in the sense of a precisely formalized process), and this book aims to provide a first step towards a holistic methodology, with a global view on annotation.

Natural Language Annotation for Machine Learning

Natural Language Annotation for Machine Learning PDF Author: James Pustejovsky
Publisher: "O'Reilly Media, Inc."
ISBN: 1449306667
Category : Computers
Languages : en
Pages : 344

Book Description
Includes bibliographical references (p. 305-315) and index.

Natural Language Processing and Computational Linguistics 2

Natural Language Processing and Computational Linguistics 2 PDF Author: Mohamed Zakaria Kurdi
Publisher: John Wiley & Sons
ISBN: 1848219210
Category : Technology & Engineering
Languages : en
Pages : 323

Book Description
Natural Language Processing (NLP) is a scientific discipline which is found at the intersection of fields such as Artificial Intelligence, Linguistics, and Cognitive Psychology. This book presents in four chapters the state of the art and fundamental concepts of key NLP areas. Are presented in the first chapter the fundamental concepts in lexical semantics, lexical databases, knowledge representation paradigms, and ontologies. The second chapter is about combinatorial and formal semantics. Discourse and text representation as well as automatic discourse segmentation and interpretation, and anaphora resolution are the subject of the third chapter. Finally, in the fourth chapter, I will cover some aspects of large scale applications of NLP such as software architecture and their relations to cognitive models of NLP as well as the evaluation paradigms of NLP software. Furthermore, I will present in this chapter the main NLP applications such as Machine Translation (MT), Information Retrieval (IR), as well as Big Data and Information Extraction such as event extraction, sentiment analysis and opinion mining.

Natural Language Processing and Computational Linguistics

Natural Language Processing and Computational Linguistics PDF Author: Mohamed Zakaria Kurdi
Publisher: John Wiley & Sons
ISBN: 1119145562
Category : Technology & Engineering
Languages : en
Pages : 296

Book Description
Natural language processing (NLP) is a scientific discipline which is found at the interface of computer science, artificial intelligence and cognitive psychology. Providing an overview of international work in this interdisciplinary field, this book gives the reader a panoramic view of both early and current research in NLP. Carefully chosen multilingual examples present the state of the art of a mature field which is in a constant state of evolution. In four chapters, this book presents the fundamental concepts of phonetics and phonology and the two most important applications in the field of speech processing: recognition and synthesis. Also presented are the fundamental concepts of corpus linguistics and the basic concepts of morphology and its NLP applications such as stemming and part of speech tagging. The fundamental notions and the most important syntactic theories are presented, as well as the different approaches to syntactic parsing with reference to cognitive models, algorithms and computer applications.

Application of Graph Rewriting to Natural Language Processing

Application of Graph Rewriting to Natural Language Processing PDF Author: Guillaume Bonfante
Publisher: John Wiley & Sons
ISBN: 1786300966
Category : Language Arts & Disciplines
Languages : en
Pages : 276

Book Description
The paradigm of Graph Rewriting is used very little in the field of Natural Language Processing. But graphs are a natural way of representing the deep syntax and the semantics of natural languages. Deep syntax is an abstraction of syntactic dependencies towards semantics in the form of graphs and there is a compact way of representing the semantics in an underspecified logical framework also with graphs. Then, Graph Rewriting reconciles efficiency with linguistic readability for producing representations at some linguistic level by transformation of a neighbor level: from raw text to surface syntax, from surface syntax to deep syntax, from deep syntax to underspecified logical semantics and conversely.

Multilayer Corpus Studies

Multilayer Corpus Studies PDF Author: Amir Zeldes
Publisher: Routledge
ISBN: 1351622137
Category : Language Arts & Disciplines
Languages : en
Pages : 266

Book Description
This volume explores the opportunities afforded by the construction and evaluation of multilayer corpora, an emerging methodology within corpus linguistics that brings about multiple independent parallel analyses of the same linguistic phenomena, and how the interplay of these concurrent analyses can help to push the field into new frontiers. The first part of the book surveys the theoretical and methodological underpinnings of multilayer corpus work, including an exploration of various technical and data collection issues. The second part builds on the groundwork of the first half to show multilayer corpora applied to different subfields of linguistic study, including information structure research, referentiality, discourse models, and functional theories of discourse analysis, synthesizing these different discussions in a detailed case study of non-standard language in its concluding chapter. Advancing the multilayer corpus linguistic research paradigm into new and different directions, this volume is an indispensable resource for graduate students and researchers in corpus linguistics, syntax, semantics, construction studies, and cognitive grammar.

Legal Knowledge and Information Systems

Legal Knowledge and Information Systems PDF Author: A. Wyner
Publisher: IOS Press
ISBN: 1614998388
Category : Computers
Languages : en
Pages : 212

Book Description
Like every other walk of modern life, the law has embraced digital technology, and is increasingly reliant on information systems for its efficient functioning. This book presents papers from the 30th International Conference on Legal Knowledge and Information Systems (JURIX 2017), held in Luxembourg City, Luxembourg, in December 2017. In the three decades since they began, the JURIX conferences have been held under the auspices of the Dutch Foundation for Legal Knowledge Based Systems, and have become a fully European conference series which addresses familiar topics and extends known techniques, as well as exploring newer topics such as question answering and the use of data mining and machine learning. Of the 42 submissions received for this edition, 12 have been selected for publication as full papers and 13 as short papers, with an acceptance rate of around 59%. The papers address a wide range of topics in artificial intelligence and law, such as argumentation, norms, evidence, belief revision, citations, case-based reasoning and ontologies. Diverse techniques such as information retrieval and extraction, machine learning, semantic web, and network analysis were applied, among others, and textual sources include legal cases, bar examinations, and legislative/regulatory documents. The book will be of interest to all those working in the legal system who wish to keep abreast of the latest developments in information systems.

Legal Knowledge and Information Systems

Legal Knowledge and Information Systems PDF Author: E. Schweighofer
Publisher: IOS Press
ISBN: 1643682539
Category : Computers
Languages : en
Pages : 274

Book Description
Traditionally concerned with computational models of legal reasoning and the analysis of legal data, the field of legal knowledge and information systems has seen increasing interest in the application of data analytics and machine learning tools to legal tasks in recent years. This book presents the proceedings of the 34th annual JURIX conference, which, due to pandemic restrictions, was hosted online in a virtual format from 8 – 10 December 2021 in Vilnius, Lithuania. Since its inception as a mainly Dutch event, the JURIX conference has become truly international and now, as a platform for the exchange of knowledge between theoretical research and applications, attracts academics, legal practitioners, software companies, governmental agencies and judiciary from around the world. A total of 65 submissions were received for this edition, and after rigorous review, 30 of these were selected for publication as long papers or short papers, representing an overall acceptance rate of 46 %. The papers are divided into 6 sections: Visualization and Legal Informatics; Knowledge Representation and Data Analytics; Logical and Conceptual Representations; Predictive Models; Explainable Artificial Intelligence; and Legal Ethics, and cover a wide range of topics, from computational models of legal argumentation, case-based reasoning, legal ontologies, smart contracts, privacy management and evidential reasoning, through information extraction from different types of text in legal documents, to ethical dilemmas. Providing an overview of recent advances and the cross-fertilization between law and computing technologies, this book will be of interest to all those working at the interface between technology and law.

Language and Neurology

Language and Neurology PDF Author: Christophe Cusimano
Publisher: John Wiley & Sons
ISBN: 1119808235
Category : Science
Languages : en
Pages : 192

Book Description
This book questions the relationship and compatibility between current beliefs in neurology and contemporary textual linguistic theories, interpretative semantics and discourse analysis. It begins with a critical examination of the screenings for AlzheimerÂs type dementia through cognitive testing, particularly screenings where language is used. It then analyzes the various linguistic properties (morphological, syntactic and semantic) of the speech of AlzheimerÂs patients, which can be troubling for both caregivers and their environment in general. More than a synthesis of critical linguistic reflections, Language and Neurology provokes a fruitful reflection through adjustments suggested by the acquired knowledge of textual semantics.