| An evaluation dataset for intent classification and out-of-scope prediction S Larson, A Mahendran, JJ Peper, C Clarke, A Lee, P Hill, JK Kummerfeld, ... arXiv preprint arXiv:1909.02027, 2019 | 42 | 2019 |
| Outlier detection for improved data quality and diversity in dialog systems S Larson, A Mahendran, A Lee, JK Kummerfeld, P Hill, MA Laurenzano, ... arXiv preprint arXiv:1904.03122, 2019 | 8 | 2019 |
| Systems and methods for automatically detecting and repairing slot errors in machine learning training data for a machine learning-based dialogue system S Larson, A Mahendran, P Hill, JK Kummerfeld, MA Laurenzano, L Tang, ... US Patent 10,929,761, 2021 | | 2021 |
| Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods S Larson, A Cheung, A Mahendran, K Leach, JK Kummerfeld Proceedings of the 28th International Conference on Computational …, 2020 | | 2020 |
| Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness S Larson, A Zheng, A Mahendran, R Tekriwal, A Cheung, E Guldan, ... Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | | 2020 |
| Systems and methods for automatically configuring training data for training machine learning models of a machine learning-based dialogue system S Larson, A Mahendran, A Lee, JK Kummerfeld, P Hill, MA Laurenzano, ... US Patent App. 16/864,140, 2020 | | 2020 |
| Systems and methods for automatically configuring training data for training machine learning models of a machine learning-based dialogue system including seeding training … S Larson, A Mahendran, A Lee, JK Kummerfeld, P Hill, MA Laurenzano, ... US Patent 10,679,150, 2020 | | 2020 |
