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Output details

11 - Computer Science and Informatics

University of Leeds

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Output 2 of 95 in the submission
Output title

A First Experimental Demonstration of Massive Knowledge Infusion

Type
E - Conference contribution
DOI
-
Name of conference/published proceedings
11th International Conference on Principles of Knowledge Representation and Reasoning / Proceedings of the 11th International Conference on Principles of Knowledge Representation and Reasoning, Proceedings
Volume number
-
Issue number
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First page of article
378
ISSN of proceedings
-
Year of publication
2008
URL
-
Number of additional authors
1
Additional information

<22>Unlike much NLP work that extracts facts, this work seeks rules that are implicitly encoded across corpora. It is the first conclusive demonstration of the benefits of chaining learned knowledge (and feasibility of the pre-requisite scalability). Our results were generalised and made accessible (Michael IJCAI 2009, Juba IJCAI 2013, Valiant 2013 ISBN9780465032716), rapidly becoming a stepping-stone for the implementation of actual textual entailment systems (Michael Commonsense 2013), leading to the adoption of our general approach by international research groups ([j44,c84] in http://www.informatik.uni-trier.de/~ley/pers/hd/d/Dietterich:Thomas_G=), and to invited talks and tutorials in major venues (IJCAI 2013, Chinese Computer Federation ADL, ICTAI 2012).

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
5
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-