Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models

Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. Sharp, R., Pyarelal, A., Gyori, B., Alcock, K., Laparra, E., Valenzuela-Escárcega, 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 4 downloads

@InProceedings{sharp-EtAl:2019:N19-4,
  author    = {Sharp, Rebecca  and  Pyarelal, Adarsh  and  Gyori, Benjamin  and  Alcock, Keith  and  Laparra, Egoitz  and  Valenzuela-Esc\'{a}rcega, 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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