Harry Bunt – författare

Computational semantics is concerned with computing the meanings of linguistic objects such as sentences, text fragments, and dialogue contributions. As such it is the interdisciplinary child of semantics, the study of meaning and its linguistic encoding, and computational linguistics, the discipline that is concerned with computations on linguistic objects. From one parent computational semantics inherits concepts and techniques that have been developed under the banner of formal (or model-theoretic) semantics. This blend of logic and linguistics applies the methods of logic to the description of meaning. From the other parent the young discipline inherits methods and techniques for parsing sentences, for effective and efficient representation of syntactic structure and logical form, and for reasoning with semantic information. Computational semantics integrates and further develops these methods, concepts and techniques. This book is a collection of papers written by researchers in the emerging field of computational semantics.It is aimed at those linguists, computer scientists, and logicians who want to know more about the algorithmic realization of meaning in natural language and about what is happening in this field of research.

This book provides an in-depth view of the current issues, problems and approaches in the computation of meaning as expressed in language. Aimed at linguists, computer scientists, and logicians with an interest in the computation of meaning, this book focuses on two main topics in recent research in computational semantics. The first topic is the definition and use of underspecified semantic representations, i.e. formal structures that represent part of the meaning of a linguistic object while leaving other parts unspecified. The second topic discussed is semantic annotation. Annotated corpora have become an indispensable resource both for linguists and for developers of language and speech technology, especially when used in combination with machine learning methods. The annotation in corpora has only marginally addressed semantic information, however, since semantic annotation methodologies are still in their infancy. This book discusses the development and application of such methodologies.

This book provides an in-depth view of the current issues, problems and approaches in the computation of meaning as expressed in language. Aimed at linguists, computer scientists, and logicians with an interest in the computation of meaning, this book focuses on two main topics in recent research in computational semantics. The first topic is the definition and use of underspecified semantic representations, i.e. formal structures that represent part of the meaning of a linguistic object while leaving other parts unspecified. The second topic discussed is semantic annotation. Annotated corpora have become an indispensable resource both for linguists and for developers of language and speech technology, especially when used in combination with machine learning methods. The annotation in corpora has only marginally addressed semantic information, however, since semantic annotation methodologies are still in their infancy. This book discusses the development and application of such methodologies.

No detailed description available for "Discontinuous Constituency".

The chapters in this book are revised, updated, and edited versions of 13 selected papers from the Second International Conference on Cooperative Multimodal Communication (CMC'98), held in Tilburg, The Netherlands, in 1998.This wasthesecondconferencein a series,ofwhichthe ?rstonewasheld inEindhoven,TheNetherlands,in1995.Threeofthesepaperswerepresentedby invitedspeakers;thosebyDoniaScott(co-authoredwithRichardPower),Steven Feiner (co-authored with Michele Zhou), and Oliviero Stock (co-authored with Carlo Strapparava and Massimo Zancanaro). The other ten were among the submitted papers that were accepted by the CMC'98 program committee. The editors contributed an introductory chapter to set the stage for the rest of the book. We thank the programcommittee for their excellent and timely feedback to the authors of the submitted papers, and at a later stage for advising on the contents of this volume and for providing additional suggestions for improving theselectedcontributions.Theprogramcommittee consistedofNicholasAsher, NormannBadler,DonBouwhuis,HarryBunt,WalthervonHahn,DieterHuber, Hans Kamp, John Lee, Joseph Mariani, Jean-Claude Martin, Mark Maybury, PaulMcKevitt, RobNederpelt, KeesvanOverveld,RayPerrault,Donia Scott, Jan Treur, Wolfgang Wahlster, Bonnie Webber, Kent Wittenburg, and Henk Zeevat.WethanktheRoyalDutchAcademyofSciences(KNAW)andtheOrga- zationforCooperationamongUniversitiesinBrabant(SOBU)fortheirgrants that supported the conference.

This book constitutes the strictly reviewed post-workshop documentation of the First International Conference on Cooperative Multimodal Communication held in Eindhoven, The Netherlands, in 1995.The volume presents an introductory survey and carefully re vised and updated full versions of three invited contributions and 14 papers selected for inclusion in the book after intensive reviewing. Among the issues addressed are intelligent multimedia retrieval, cooperative conversation, agent system communication, multimodal maps, multimodal plan presentation, multimodal user interfaces, multimodal dialog, and various systems for multimodal HCI.

Computer parsing technology, which breaks down complex linguistic structures into their constituent parts, is a key research area in the automatic processing of human language. This volume is a collection of contributions from leading researchers in the field of natural language processing technology, each of whom detail their recent work which includes new techniques as well as results. The book presents an overview of the state of the art in current research into parsing technologies, focusing on three important themes: dependency parsing, domain adaptation, and deep parsing.The technology, which has a variety of practical uses, is especially concerned with the methods, tools and software that can be used to parse automatically. Applications include extracting information from free text or speech, question answering, speech recognition and comprehension, recommender systems, machine translation, and automatic summarization. New developments in the area of parsing technology are thus widely applicable, and researchers and professionals from a number of fields will find the material here required reading.As well as the other four volumes on parsing technology in this series this book has a breadth of coverage that makes it suitable both as an overview of the field for graduate students, and as a reference for established researchers in computational linguistics, artificial intelligence, computer science, language engineering, information science, and cognitive science. It will also be of interest to designers, developers, and advanced users of natural language processing systems, including applications such as spoken dialogue, text mining, multimodal human-computer interaction, and semantic web technology.

Computer parsing technology, which breaks down complex linguistic structures into their constituent parts, is a key research area in the automatic processing of human language. This volume is a collection of contributions from leading researchers in the field of natural language processing technology, each of whom detail their recent work which includes new techniques as well as results. The book presents an overview of the state of the art in current research into parsing technologies, focusing on three important themes: dependency parsing, domain adaptation, and deep parsing.The technology, which has a variety of practical uses, is especially concerned with the methods, tools and software that can be used to parse automatically. Applications include extracting information from free text or speech, question answering, speech recognition and comprehension, recommender systems, machine translation, and automatic summarization. New developments in the area of parsing technology are thus widely applicable, and researchers and professionals from a number of fields will find the material here required reading.As well as the other four volumes on parsing technology in this series this book has a breadth of coverage that makes it suitable both as an overview of the field for graduate students, and as a reference for established researchers in computational linguistics, artificial intelligence, computer science, language engineering, information science, and cognitive science. It will also be of interest to designers, developers, and advanced users of natural language processing systems, including applications such as spoken dialogue, text mining, multimodal human-computer interaction, and semantic web technology.

This book is a collection of papers by leading researchers in computational semantics.