A Probabilistic Lexical Model for Ranking Textual Inferences

A Java package for a M-PLM, a Markovian-like Probabilistic Lexical Model for textual inference which uses only lexical knowledge.

Note: the new version of M-PLM is now a part of PLIS. It is better to download it from here.

The model is described in the following paper:
Eyal Shnarch, Ido Dagan, Jacob Goldberger. 2012. A Probabilistic Lexical Model for Ranking Textual Inferences. In Proceedings of *SEM.

Contact: Eyal Shnarch, shey @ cs.biu.ac.il

Code package