A Confidence Model for Syntactically-Motivated Entailment Proofs. Asher Stern & Ido Dagan ISCOL June 2011, Israel. Recognizing Textual Entailment (RTE). Given a text, T , and a hypothesis, H Does T entail H. Example. T : An explosion caused by gas took place at a Taba hotel
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Asher Stern & Ido Dagan
June 2011, Israel
T = T0→ T1→ T2→ ... →Tn = H
H: A blast occurred at a hotel in Taba.
An explosion caused by gas took place at a Taba hotel
A blast caused by gas took place at a Taba hotel
A blast took place at a Taba hotel
A blast occurred at a Taba hotel
A blast occurred at a hotel in Taba.
Insurgents attacked soldiers -> Soldiers were attacked by insurgents
How to classify?
Decide “yes” if and only if a proof was found
Almost always “no”
Cannot handle knowledge inaccuracies
Estimate a confidence to the proof correctness
Entailment Rules based
No estimation of proof correctness
Mixed system with ad-hoc approximate match criteria
Represent the proof as a feature-vector
Use the vector in a learning algorithm
Q & A