Anish Mahendran
Title
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Year
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
422019
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
82019
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
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