@inproceedings{bc3dd653227f4e42ae2c2e9515a8de01,
title = "BIUTEE: A modular open-source system for recognizing textual entailment",
abstract = "This paper introduces BIUTEE1, an open-source 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.",
author = "Asher Stern and Ido Dagan",
note = "Publisher Copyright: {\textcopyright} 2012 Association for Computational Linguistics; 50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 ; Conference date: 08-07-2012 Through 14-07-2012",
year = "2012",
language = "الإنجليزيّة",
series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",
publisher = "Association for Computational Linguistics (ACL)",
pages = "73--78",
editor = "Min Zhang",
booktitle = "ACL 2012 - 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the System Demonstrations",
address = "الولايات المتّحدة",
}