Advances in Open Domain Question Answering

  • Tomek Strzalkowski
  • Sanda M. Harabagiu

Part of the Text, Speech and Language Technology book series (TLTB, volume 32)

Table of contents

  1. Front Matter
    Pages i-xxvi
  2. Approaches to Question Answering

    1. Dan Moldovan, Marius Pasca, Mihai Surdeanu
      Pages 3-34
    2. Jose L. Vicedo, Antonio Ferrández
      Pages 71-96
  3. Question Processing

    1. Sanda M. Harabagiu
      Pages 99-147
    2. Tomek Strzalkowski, Sharon Small, Hilda Hardy, Paul Kantor, Wu Min, Sean Ryan et al.
      Pages 149-188
    3. Brigitte Grau, Olivier Ferret, Martine Hurault-Plantet, Christian Jacquemin, Laura Monceaux, Isabelle Robba et al.
      Pages 189-226
  4. Question Answering as Information Retrieval

    1. Laszlo Grunfeld, Kui-Lam Kwok
      Pages 229-258
    2. Charles L. A. Clarke, Gordon V. Cormack, Thomas R. Lynam, Egidio L. Terra
      Pages 259-283
    3. Dragomir R. Radev, Hong Qi, Zhiping Zheng, Sasha Blair-Goldensohn, Zhu Zhang, Weiguo Fan et al.
      Pages 285-303
  5. Answer Extraction

    1. John Prager, Jennifer Chu-Carroll, Eric W. Brown, Krzysztof Czuba
      Pages 307-347
    2. Rohini K. Srihari, Wei Li, Xiaoge Li
      Pages 349-382
    3. Abdessamad Echihabi, Ulf Hermjakob, Eduard Hovy, Daniel Marcu, Eric Melz, Deepak Ravichandran
      Pages 383-406
  6. Evaluating Question Answering Systems

    1. Ellen M. Voorhees
      Pages 409-430
    2. William Hersh
      Pages 431-455
    3. William Ogden, James Mcdonald, Philip Bernick, Roger Chadwick
      Pages 457-473
  7. Perspectives on Question Answering

    1. Ellen Riloff, Gideon S. Mann, William Phillips
      Pages 505-531
    2. Mark Maybury
      Pages 533-558
  8. Back Matter
    Pages 559-568
  9. Perspectives on Question Answering

    1. Front Matter
      Pages 476-476
  10. Evaluating Question Answering Systems

    1. Front Matter
      Pages 408-408
  11. Answer Extraction

    1. Front Matter
      Pages 306-306
  12. Question Answering as Information Retrieval

    1. Front Matter
      Pages 228-228
  13. Question Processing

    1. Front Matter
      Pages 98-98
  14. Approaches to Question Answering

    1. Front Matter
      Pages 1-1

About this book


Automated question answering - the ability of a machine to answer questions, simple or complex, posed in ordinary human language - is one of today’s most exciting technological developments. It has all the markings of a disruptive technology, one that is poised to displace the existing search methods and establish new standards for user-centered access to information. This book gives a comprehensive and detailed look at the current approaches to automated question answering. The level of presentation is suitable for newcomers to the field as well as for professionals wishing to study this area and/or to build practical QA systems. The book can serve as a "how-to" handbook for IT practitioners and system developers. It can also be used to teach advanced graduate courses in Computer Science, Information Science and related disciplines. The readers will acquire in-depth practical knowledge of this critical new technology.


Automated DOM Human Information Retrieval Technology intelligence knowledge

Editors and affiliations

  • Tomek Strzalkowski
    • 1
  • Sanda M. Harabagiu
    • 2
  1. 1.State University of New York at AlbanyAlbanyUSA
  2. 2.University of Texas at DallasRichardsonUSA

Bibliographic information

Industry Sectors
IT & Software