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Machine Reading
Opinion
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#246907
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OpenSherlock Project »
OpenSherlock Project
OpenSherlock ProjectâFabricating possibly many open source variants along the lines of IBMs Watson. The projects name has changed from SolrDrWatson to SolrSherlock, with thanks to Tom Munnecke. Migrating to OpenSherlock concept where we generalize beyond Solr as the platform core.âF1CEB7
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References »
References
ReferencesâLinks to resources related to the SolrDrWatson projectâ59C6EF
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Conference Papers »
Conference Papers
Conference PapersââFFB597
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Machine Reading
Machine Readingââ59C6EF
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Machine Reading »
Machine Reading
Machine ReadingâCan machines read the web?âFFFACD
◄
Thesis 3: Anticipatory Story Reading »
Thesis 3: Anticipatory Story Reading
Thesis 3: Anticipatory Story ReadingâExploration of a space in which a topic map can learn how to readâFFFACD
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[1]
Machine Reading
En citant:
Oren Etzioni, Michele Banko, Michael J. Cafarella
Publication info:
2006 at AAAI'06
Cité par:
Jack Park
8:34 PM 28 January 2013 GMT
URL:
http://turing.cs.washington.edu/papers/aaai06.pdf
Extrait -
The time is ripe for the AI community to set its sights on
Machine Reading---the automatic, unsupervised
understanding of text. In this paper, we place the notion of
âMachine Readingâ in context, describe progress towards
this goal by the KnowItAll research group at the University
of Washington, and highlight several central research
questions.
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Entrée par:
Jack Park
NodeID:
#246907
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Date d'entrée (GMT):
1/28/2013 8:32:00 PM
Date de la derniĂšre modification (Heure GMT):
1/28/2013 8:32:00 PM
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