Paper: Using Discourse Commitments to Recognize Textual Entailment

ACL ID C08-1043
Title Using Discourse Commitments to Recognize Textual Entailment
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008
Authors
  • Andrew Hickl (Language Computer Corporation, Richardson TX)

In this paper, we introduce a new frame- work for recognizing textual entailment (RTE) which depends on extraction of the set of publicly-held beliefs known as dis- course commitments that can be ascribed to the author of a text (t) or a hypothesis (h). We show that once a set of commit- ments have been extracted from a t-h pair, the task of recognizing textual entailment is reduced to the identi cation of the com- mitments from a t which support the infer- ence of the h. Our system correctly identi- ed entailment relationships in more than 80% of t-h pairs taken from all three of the previous PASCAL RTE Challenges, with- out the need for additional sources of train- ing data.