Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. Sharp, R., Pyarelal, A., Gyori, B., Alcock, K., Laparra, E., Valenzuela-Escarcega, M. A., Nagesh, A., Yadav, V., Bachman, J., Tang, Z., Lent, H., Luo, F., Paul, M., Bethard, S., Barnard, K., Morrison, C., & Surdeanu, M. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations), pages 42-47, Minneapolis, Minnesota, 6, 2019. Association for Computational Linguistics.
Paper bibtex @InProceedings{sharp-EtAl:2019:N19-4,
author = {Sharp, Rebecca and Pyarelal, Adarsh and Gyori, Benjamin and Alcock, Keith and Laparra, Egoitz and Valenzuela-Escarcega, Marco A. and Nagesh, Ajay and Yadav, Vikas and Bachman, John and Tang, Zheng and Lent, Heather and Luo, Fan and Paul, Mithun and Bethard, Steven and Barnard, Kobus and Morrison, Clayton and Surdeanu, Mihai},
title = {Eidos, INDRA, \& Delphi: From Free Text to Executable Causal Models},
booktitle = {Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)},
month = {6},
year = {2019},
address = {Minneapolis, Minnesota},
publisher = {Association for Computational Linguistics},
pages = {42-47},
url = {http://www.aclweb.org/anthology/N19-4008},
keywords = {demo paper, causal relations, timelines, locations, information extraction},
}
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