@conference {tac2009,
	title = {Believe It or Not: Solving the TAC 2009 Textual Entailment Tasks through an Artificial Believer System},
	booktitle = {Proceedings of the Second Text Analysis Conference (TAC 2009)},
	year = {2009},
	month = {November 16{\textendash}17},
	publisher = {National Institute of Standards and Technology (NIST)},
	organization = {National Institute of Standards and Technology (NIST)},
	address = {Gaithersburg, Maryland, USA},
	abstract = {The Text Analysis Conference (TAC) 2009 competition featured a new textual entailment search task, which extends the 2008 textual entailment task. The goal is to find information in a set of documents that are entailed from a given statement. Rather than designing a system specifically for this task, we investigated the adaptation of an existing <i>artificial believer</i> system to solve this task. The results show that this is indeed possible, and furthermore allows to recast the existing, divergent tasks of textual entailment and automatic summarization under a common umbrella.},
	url = {http://www.nist.gov/tac/publications/2009/participant.papers/ssl.proceedings.pdf},
	attachments = {https://www.semanticsoftware.info/system/files/ssl.proceedings.pdf},
	author = {Ralf Krestel and Ren{\'e} Witte and Sabine Bergler}
}
