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12

LREC
2008

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Unsupervised Resource Creation for Textual Inference Applications

13 years 5 months ago

Unsupervised Resource Creation for Textual Inference Applications

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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

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Education | LREC 2008 | Textual | Textual Entailment | Textual Inference Applications |

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Added	29 Oct 2010
Updated	29 Oct 2010
Type	Conference
Year	2008
Where	LREC
Authors	Jeremy Bensley, Andrew Hickl

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