rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Interactive Multi-modal Question-Answering
  name:
    name part: Bosch, Antal van den.
    role:
      role term: editor.
  name:
    name part: Bouma, Gosse.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2011
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 280 p. online resource.
  abstract: 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 synthesis, human interaction management (dialogue, input fusion, andmultimodal output fusion), basic question understanding, and answer finding. While all modules are researched as independent subfields, this book describes the development of state-of-the-art modules and their integration into a single, working application capable of answering medical (encyclopedic) questions such as "How long is a person with measles contagious?" or "How can I prevent RSI?". The contributions in this book, which grew out of the IMIX project funded by the Netherlands Organisation for Scientific Research, document the development of this system, but also address more general issues in natural language processing, such as the development of multidimensional dialogue systems, the acquisition of taxonomic knowledge from text, answer fusion, sequence processing for domain-specific entity recognition, and syntactic parsing for question answering. Together, they offer an overview of the most important findings and lessons learned in the scope of the IMIX project, making the book of interest to both academic and commercial developers of human-machine interaction systems in Dutch or any other language. Highlights include: integrating multi-modal input fusion in dialogue management (Van Schooten and Op den Akker), state-of-the-art approaches to the extraction of term variants (Van der Plas, Tiedemann, and Fahmi; Tjong Kim Sang, Hofmann, and De Rijke), and multi-modal answer fusion (two chapters by Van Hooijdonk, Bosma, Krahmer, Maes, Theune, and Marsi). Watch the IMIX movie at www.nwo.nl/imix-film . Like IBM's Watson, the IMIX system described in the book gives naturally phrased responses to naturally pose…
  table of contents: 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.
  note: edited by Antal van den Bosch, Gosse Bouma.
  subject:
    topic: Computer science
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Multimedia information systems
  subject:
    topic: User interfaces (Computer systems)
  subject:
    topic: Computer Science
  subject:
    topic: Multimedia Information Systems
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: User Interfaces and Human Computer Interaction
  subject:
    topic: Information Storage and Retrieval
  classification: QA76.575
  classification: 006.7
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Theory and Applications of Natural Language Processing
  identifier: 9783642175251
  identifier: http://dx.doi.org/10.1007/978-3-642-17525-1
  record info:
    record creation date: 110509
    record change date: 20151120230901.0
    record identifier: 978-3-642-17525-1