BIUTEE: A Modular Open-Source System for Recognizing Textual Entailment

This paper introduces BIUTEE1 , an opensource system for recognizing textual entailment. Its main advantages are its ability to utilize various types of knowledge resources, and its extensibility by which new knowledge resources and inference components can be easily integrated. These abilities make BIUTEE an appealing RTE system for two research communities: (1) researchers of end applications, that can benefit from generic textual inference, and (2) RTE researchers, who can integrate their novel algorithms and knowledge resources into our system, saving the time and effort of developing a complete RTE system from scratch. Notable assistance for these researchers is provided by a visual tracing tool, by which researchers can refine and “debug” their knowledge resources and inference components.

• Type: Journal
• Year: 2012
• Where: ACL
• Authors: Asher Stern, Ido Dagan
• Keywords: ACL 2012, Computational Linguistics, Knowledge Resources, Research Communities, Types Of Knowledge