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LREC
2008

Unsupervised Resource Creation for Textual Inference Applications

8 years 7 months ago
Unsupervised Resource Creation for Textual Inference Applications
This paper explores how a battery of unsupervised techniques can be used in order to create large, high-quality corpora for textual inference applications, such as systems for recognizing textual entailment (TE) and textual contradiction (TC). We show that it is possible to automatically generate sets of positive and negative instances of textual entailment and contradiction from textual corpora with greater than 90% precision. We describe how we generated more than 1 million TE pairs
Jeremy Bensley, Andrew Hickl
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where LREC
Authors Jeremy Bensley, Andrew Hickl
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