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Learning to Distinguish Valid Textual Entailments
Published on Feb 25, 20075878 Views
This paper proposes a new architecture for textual inference in which finding a good alignment is separated from evaluating entailment. Current approaches to semantic inference in question answering a
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Chapter list
Robust local textual inference00:02
3 approaches to RTE00:12
Graph matching00:26
We need sloppy matching!01:43
The problem with tree matching02:11
Solution: align, then evaluate02:49
Things we aimed to fix03:12
Whether an alignment is good depends on non-local factors04:07
Three-stage architecture05:15
Three-step approach (1)05:37
Three-step approach (2)06:52
Three-step approach (3)07:38
Representation/alignment example08:36
Structural (mis-)match features10:18
Modality features11:06
Restrictive adjuncts12:06
Factive & implicative features12:55
Our RTE2 Results14:16
Problems we can fix15:35
Problems we can fix16:27
More challenging problems17:32