Recognizing Textual Entailment by Generality Using Informative Asymmetric Measures and Multiword Unit Identification to Summarize Ephemeral Clusters

Gaël Dias, Sebastião Pais, Katarzyna Wegrzyn-Wolska, Robert Mahl. Recognizing Textual Entailment by Generality Using Informative Asymmetric Measures and Multiword Unit Identification to Summarize Ephemeral Clusters. In Olivier Boissier, Boualem Benatallah, Mike P. Papazoglou, Zbigniew W. Ras, Mohand-Said Hacid, editors, Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011, Campus Scientifique de la Doua, Lyon, France, August 22-27, 2011. pages 284-287, IEEE Computer Society, 2011. [doi]

@inproceedings{DiasPWM11,
  title = {Recognizing Textual Entailment by Generality Using Informative Asymmetric Measures and Multiword Unit Identification to Summarize Ephemeral Clusters},
  author = {Gaël Dias and Sebastião Pais and Katarzyna Wegrzyn-Wolska and Robert Mahl},
  year = {2011},
  doi = {10.1109/WI-IAT.2011.122},
  url = {http://doi.ieeecomputersociety.org/10.1109/WI-IAT.2011.122},
  researchr = {https://researchr.org/publication/DiasPWM11},
  cites = {0},
  citedby = {0},
  pages = {284-287},
  booktitle = {Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011, Campus Scientifique de la Doua, Lyon, France, August 22-27, 2011},
  editor = {Olivier Boissier and Boualem Benatallah and Mike P. Papazoglou and Zbigniew W. Ras and Mohand-Said Hacid},
  publisher = {IEEE Computer Society},
  isbn = {978-0-7695-4513-4},
}