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Learning Textual Entailment from Examples
Published on Feb 25, 20074419 Views
In this paper we present a novel approach for learning entailment relations from positive and negative examples. We define a similarity between two text-hypothesis pairs based on a syntatic and lexica
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Chapter list
Learning Textual Entailment from Examples00:01
Motivating the approach (1)00:39
Motivating the approach (2)02:08
Our Model03:27
Outline04:18
Challenges for the cross-pair similarity (1)04:41
Challenges for the cross-pair similarity (2)05:09
Challenges for the cross-pair similarity (3)06:48
Our Model: an example07:11
Our Model: an example07:31
Our Model: an example07:33
Our Model: an example07:42
Our Model: an example07:51
Our Model: an example08:01
Our Model: an example08:11
Our Model: an example08:16
Our Model: an example08:21
Our Model: an example08:34
Our Model: an example09:46
Similarity Models10:47
Anchoring and Intra-pair Lexical Similarity11:00
Anchoring and Intra-pair Lexical Similarity12:04
Cross-pair similarity13:23
Refining Cross-pair Similarity15:12
Experimental Setting16:10
Experimental Results17:37
Conclusions21:43
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