Logic-based question answering

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Logic-based question answering
Authors: Ulrich Furbach, Ingo Glöckner, Hermann Helbig, Björn Pelzer [edit item]
Citation: KI – Künstliche Intelligenz 24 (1): 51-55. 2010 April.
Publication type: Journal article
Peer-reviewed: Yes
Database(s):
DOI: 10.1007/s13218-010-0010-x.
Google Scholar cites: Citations
Link(s): Paper link
Added by Wikilit team: Added on initial load
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Logic-based question answering is a publication by Ulrich Furbach, Ingo Glöckner, Hermann Helbig, Björn Pelzer.


[edit] Abstract

Question answering systems aim to provide concise and correct responses to arbitrary questions, communicating with the user in a natural language. This way they help making the knowledge of large textual sources accessible in an intuitive manner which goes beyond the capabilities of conventional search engines. In the LogAnswer project the universities of Hagen and Koblenz cooperate to build a German language question answering system which combines computational linguistics and automated reasoning to deduce answers from a knowledge base derived from Wikipedia.

[edit] Research questions

"In the LogAnswer project the universities of Hagen and Koblenz cooperate to build a German language question answering system which combines computational linguistics and automated reasoning to deduce answers from a knowledge base derived from Wikipedia."

Research details

Topics: Computational linguistics [edit item]
Domains: Computer science [edit item]
Theory type: Design and action [edit item]
Wikipedia coverage: Sample data [edit item]
Theories: "Undetermined" [edit item]
Research design: Design science [edit item]
Data source: Experiment responses, Wikipedia pages [edit item]
Collected data time dimension: Cross-sectional [edit item]
Unit of analysis: Article [edit item]
Wikipedia data extraction: Dump [edit item]
Wikipedia page type: Article [edit item]
Wikipedia language: German [edit item]

[edit] Conclusion

"LogAnswer achieved an accuracy (percentage of answers deemed correct) of 14.5% [14]. Even though the prototype was not yet competitive with the senior participants (the top accuracy rating among German language systems was 37%), the participation has revealed necessary changes to the system, and it has given us the comprehensive set of questions and answers for continued internal evaluation of LogAnswer."

[edit] Comments


Further notes[edit]

Facts about "Logic-based question answering"RDF feed
AbstractQuestion answering systems aim to provide Question answering systems aim to provide concise and correct responses to arbitrary questions, communicating with the user in a natural language. This way they help making the knowledge of large textual sources accessible in an intuitive manner which goes beyond the capabilities of conventional search engines. In the LogAnswer project the universities of Hagen and Koblenz cooperate to build a German language question answering system which combines computational linguistics and automated reasoning to deduce answers from a knowledge base derived from Wikipedia.m a knowledge base derived from Wikipedia.
Added by wikilit teamAdded on initial load +
Collected data time dimensionCross-sectional +
ConclusionLogAnswer achieved an accuracy (percentageLogAnswer achieved an accuracy (percentage

of answers deemed correct) of 14.5% [14]. Even though the prototype was not yet competitive with the senior participants (the top accuracy rating among German language systems was 37%), the participation has revealed necessary changes to the system, and it has given us the comprehensive set of questions and answers for continued internal evaluation of LogAnswer.ontinued internal evaluation

of LogAnswer.
Data sourceExperiment responses + and Wikipedia pages +
Doi10.1007/s13218-010-0010-x +
Google scholar urlhttp://scholar.google.com/scholar?ie=UTF-8&q=%22Logic-based%2Bquestion%2Banswering%22 +
Has authorUlrich Furbach +, Ingo Glöckner +, Hermann Helbig + and Björn Pelzer +
Has domainComputer science +
Has topicComputational linguistics +
Issue1 +
MonthApril +
Pages51-55 +
Peer reviewedYes +
Publication typeJournal article +
Published inKI – Künstliche Intelligenz +
Research designDesign science +
Research questionsIn the LogAnswer

project the universities of Hagen and Koblenz cooperate to build a German language question answering system which combines computational linguistics and automated reasoning to deduce answers from a knowledge base derived from

Wikipedia.
Revid10,861 +
TheoriesUndetermined
Theory typeDesign and action +
TitleLogic-based question answering
Unit of analysisArticle +
Urlhttp://dx.doi.org/10.1007/s13218-010-0010-x +
Volume24 +
Wikipedia coverageSample data +
Wikipedia data extractionDump +
Wikipedia languageGerman +
Wikipedia page typeArticle +
Year2010 +