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Interactive Multi-modal Question-Answering

This book is the result of a group of researchers from different disciplines asking themselves one question: what does it take to develop a computer interface that listens, talks, and can answer questions in a domain? First, obviously, it takes specialized modules for speech recognition and synthesi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: van den Bosch, Antal (Editor ), Bouma, Gosse (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Theory and Applications of Natural Language Processing,
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Part I Introduction to the IMIX Programme
  • Introduction. Antal van den Bosch and Gosse Bouma
  • IMIX: Good Questions, Promising Answers. Eduard Hovy, Jon Oberlander, and Norbert Reithinger
  • The IMIX demonstrator: an information search assistant for the medical domain. Dennis Hofs and Boris van Schooten and Rieks op den Akker
  • Part II Interaction Management
  • Vidiam: Corpus-based Development of a Dialogue Manager for Multimodal Question Answering. Boris van Schooten and Rieks op den Akker
  • Multidimensional Dialogue Management. Simon Keizer, Harry Bunt, and Volha Petukhova
  • Part III Fusing Text, Speech, and Images. Experiments in Multimodal Information Presentation. Charlotte van Hooijdonk, Wauter Bosma, Emiel Krahmer, Alfons Maes, and Mariët Theune
  • Text-to-text generation for question answering. Wauter Bosma, Erwin Marsi, Emiel Krahmer and Mariët Theune
  • Part IV Text Analysis for Question Answering Automatic Extraction of Medical Term Variants from Mutilingual Parallel Translations. Lonneke van der Plas, Jörg Tiedemann, and Ismail Fahmi
  • Relation Extraction for Open and Closed Domain Question Answering . Gosse Bouma, Ismail Fahmi, and Jori Mur
  • Constraint-Satisfaction Inference for Entity Recognition. Sander Canisius, Antal van den Bosch, and Walter Daelemans
  • Extraction of Hypernymy Information from Text. Erik Tjong Kim Sang, Katja Hofmann and Maarten de Rijke.-Towards a Discourse-driven Taxonomic Inference Model . Piroska Lendvai.