Lectures
Readings
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Ido Dagan, Dan Roth, Mark Sammons, and Fabio M. Zanzotto. 2013. Recognizing Textual Entailment: Models and Applications. Synthesis Lectures on Human Language Technologies, 6(4):1–220.
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Ido Dagan, Oren Glickman, and Bernardo Magnini. 2005. The PASCAL Recognising textual entailment challenge. In Machine learning challenges workshop, pages 177–190.
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Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015. A large annotated corpus for learning natural language inference. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 632–642.
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Adina Williams, Nikita Nangia, and Samuel Bowman. 2018. A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), pages 1112–1122.