Question Answering in Restricted Domains: An Overview
Automated question answering has been a topic of research and
development since the earliest AI applications. Computing power has
increased since the first such systems were developed, and
the general methodology has changed from the use of hand-encoded
knowledge bases about simple domains to the use of text collections
as the main knowledge source over more complex domains. Still, many
research issues remain. The focus of this article is on the use of
restricted domains for automated question answering. The article
contains a historical perspective on question answering over
restricted domains and an overview of the current methods and
applications used in restricted domains. A main characteristic of
question answering in restricted domains is the integration of
domain-specific information that is either developed for question
answering or that has been developed for other purposes. We explore
the main methods developed to leverage this domain-specific
information.
Published in Computational Linguistics, 33:1 (2007).
List of Question Answering Systems in Restricted Domains
The following list is an updated on-line version of the apendix
included in the article. If your system is not listed here or if you
want to update the information regarding your system, please send an
email to Diego Mollá
with the details.
Generic Systems
Collaborative learning for engineering education
Services provided by a large company
- Concordia University system [5]
Salmon fish biology
Biography information
- BioGrapher [27]
- BBN Technologies [30]
Tourism
Weather forecasts
- System by Korea University and Sangmyung University [2]
Technical domains
Genomics
- ExtrAns [23]
- System by KnowledgeTrail [10]
Financial
- System by KnowledgeTrail [11]
Medical domain
- EpoCare [21]
- system by University of Maryland [3]
- question classification by Columbia University and Cooper Union [31]
- IMIX [26]
Geographic domain
Nobel Prizes
Language technology
Opinion texts
- system by University of Southern California [17]
Reading Comprehension texts
Role-playing games
- System by Microsoft Research [13]
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Ferrés, Daniel and Horacio Rodríguez.
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Extending the JAVELIN system with domain semantics.
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Rinaldi, Fabio, James Dowdall, and Gerold Schneider.
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Answering questions in the genomics domain.
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Schwitter.
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Question answering in terminology-rich technical domains.
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Rotaru, Mihai and Diane J. Litman.
2005.
Improving Question Answering for Reading Comprehension Tests by
Combining Multiple Systems.
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Sang, Erik Tjong Kim, Gosse Bouma, and Maarten de Rijke.
2005.
Developing offline strategies for answering medical questions.
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Tsur, Oren, Maarten de Rijke, and Khalil Sima'an.
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BioGrapher: Biography Questions as a Restricted Domain Question
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AQUA: A question answering system for heterogeneous sources.
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Diego Mollá
Last modified: Tue Oct 24 12:31:26 EST 2006