
Interactive Multi-modal Question-Answering
Description
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Reviews / Votes
From the reviews:
"Researchers in broad disciplines . usually conduct their research by breaking the general problem down into many small problems. . It is rare for many researchers to coordinate their efforts and demonstrate what progress has been made to solve the general problem. This book documents one such effort. . The book is a collection of chapters written by various researchers in the IMIX project. . Anyone who wants to know about the state of the art in question answering will be interested in this book." (D. L. Chester, ACM Computing Reviews, August, 2011)
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Content
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.
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Copy protection: Watermark-DRM (Digital Rights Management)
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