Eduard Hovy – författare

New information technologies are being applied swiftly to all levels of government service: local, county, regional and even national and international. Information technology (IT) is being used to improve data management and data sharing, planning and decision support, service delivery, and more. Application areas affected by government mandates to improve e-government service include healthcare and safety; law enforcement, security, and justice; education; land use; and many others. DIGITAL GOVERNMENT: E-Government Research, Case Studies, and Implementation provides the field with a definitive, interdisciplinary, and understandable review of recent IT and related research of particular importance to digital government. The book also includes explorations of current and future policy implications, and case studies of successful applications in a variety of government settings.

Event structures are central in Linguistics and Artificial Intelligence research: people can easily refer to changes in the world, identify their participants, distinguish relevant information, and have expectations of what can happen next. Part of this process is based on mechanisms similar to narratives, which are at the heart of information sharing. But it remains difficult to automatically detect events or automatically construct stories from such event representations. This book explores how to handle today's massive news streams and provides multidimensional, multimodal, and distributed approaches, like automated deep learning, to capture events and narrative structures involved in a 'story'. This overview of the current state-of-the-art on event extraction, temporal and casual relations, and storyline extraction aims to establish a new multidisciplinary research community with a common terminology and research agenda. Graduate students and researchers in natural language processing, computational linguistics, and media studies will benefit from this book.

New information technologies are being applied swiftly to all levels of government service: local, county, regional and even national and international. Information technology (IT) is being used to improve data management and data sharing, planning and decision support, service delivery, and more. Application areas affected by government mandates to improve e-government service include healthcare and safety; law enforcement, security, and justice; education; land use; and many others. DIGITAL GOVERNMENT: E-Government Research, Case Studies, and Implementation provides the field with a definitive, interdisciplinary, and understandable review of recent IT and related research of particular importance to digital government. The book also includes explorations of current and future policy implications, and case studies of successful applications in a variety of government settings.

This volume presents the proceedings of the SixthInternational Workshop on Automated Natural LanguageGeneration held in Castel Ivano, Trento, Italy, April 5-7,1992. Besides an invited lecture by Nadia Magnenat-Thalmann,a well-known researcher in computer animation, on creatingand visualizing speech and emotion, the volume includes the17 thouroughly reviewed papers accepted for presentation,selected out of the submissions to the Workshop, as well as11 statements contributed to panels on multilinguality andgeneration or extending language generation to multiplemedia. The accepted papers by leading researchers fromJapan, North America and Europe fall in sections ongenerator system architecture, issues in realisation,issues in discourse structure, and beyond traditionalgeneration.

This book constitutes the proceedings of the Third Conference of the Association for Machine Translation in the Americas, AMTA'98, held in Langhorne, PA, USA, in November 1998.The book presents 43 revised full papers carefully reviewed and selected for inclusion in the proceedings together with nine systems descriptions. Among the topics covered are lexicon extraction, quality and robustness in MT, MT systems, parsing, cross-language information retrieval, lexical semantics, statistical methods, MT and the Internet, data mining, reuse of translated terms, multilingual information systems, etc.

This book explores recent advances in the integration of ontologies and lexical resources, including questions such as building the required infrastructure (e.g., the Semantic Web) and different formalisms, methods and platforms for eliciting, analyzing and encoding knowledge contents (e.g., multimedia, emotions, events, etc.).