Outlier Detection for Improved Data Quality and Diversity in Dialog Systems

This repository accompanies the paper Outlier Detection for Improved Data Quality and Diversity in Dialog Systems (NAACL 2019)

Citing

If you find this useful, please cite:

@inproceedings{larson-etal-2019-outlier,
    title = "Outlier Detection for Improved Data Quality and Diversity in Dialog Systems",
    author = "Larson, Stefan  and
      Mahendran, Anish  and
      Lee, Andrew  and
      Kummerfeld, Jonathan K.  and
      Hill, Parker  and
      Laurenzano, Michael A.  and
      Hauswald, Johann  and
      Tang, Lingjia  and
      Mars, Jason",
    booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/N19-1051",
    doi = "10.18653/v1/N19-1051",
    pages = "517--527"
}