Martha Palmer – författare

This collection of papers is dedicated to Don Walker. The technical content of these papers reflects his guidance and direction; his understanding of the relevance of the theories from related disciplines such as linguistics, psychology, and philosophy; and his dream of the future availability of electronic documents and the potential of this as a resource for corpus-based analysis. This led him to an interdisciplinary role as a primary mover in the push to standardize the acquisition and tagging of electronic text, an endeavour that brought together people from fields as distinct as publishing, the humanities and computer science. His widespread interests are mirrored in the collection of papers in this volume, which portray different approaches and different styles.

This collection of papers is dedicated to Don Walker. The technical content of the papers clearly reflects his guidance and direction; his understanding of the relevance of the theories from related disciplines such as linguistics, psychology, and philosophy; and his dream of the future availability of electronic documents and the potential of this as a resource for corpus-based analysis. This led him to an interdisciplinary role as a primary mover in the push to standardize the acquisition and tagging of electronic text, an endeavour that brought together people from fields as distinct as publishing, the humanities and computer science. His widespread interests are mirrored in the collection of papers in this volume, which portray different approaches and different styles.

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.