Recognizing Textual Entailment Via Atomic Propositions

Abstract. This paper describes Macquarie University’s Centre for Language Technology contribution to the PASCAL 2005 Recognizing Textual Entailment challenge. Our main aim was to test the practicability of a purely logical approach. For this, atomic propositions were extracted from both the text and the entailment hypothesis and they were expressed in a custom logical notation. The text entails the hypothesis if every proposition of the hypothesis is entailed by some proposition in the text. To extract the propositions and encode them into a logical notation the system uses the output of Link Parser. To detect the independent entailment relations the system relies on the use of Otter and WordNet.

• Type: Conference
• Year: 2005
• Where: MLCW
• Authors: Elena Akhmatova, Diego Mollá
• Keywords: Entailment, Logical Notation, Machine Learning, MLCW 2005, Textual Entailment Challenge