Stefan Larson

According to our database, Stefan Larson authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification.

Zhijian Li, Stefan Larson, Kevin Leach

CoRR, 2024

2023

On Evaluation of Document Classification using RVL-CDIP.

Stefan Larson, Gordon Lim, Kevin Leach

CoRR, 2023

ShabbyPages: A Reproducible Document Denoising and Binarization Dataset.

Alexander Groleau, Kok Wei Chee, Stefan Larson, Samay Maini, Jonathan Boarman

CoRR, 2023

Augraphy: A Data Augmentation Library for Document Images.

Alexander Groleau, Kok Wei Chee, Stefan Larson, Samay Maini, Jonathan Boarman

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

On Evaluation of Document Classifiers using RVL-CDIP.

Stefan Larson, Gordon Lim, Kevin Leach

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialog.

Stefan Larson, Kevin Leach

CoRR, 2022

Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset.

Stefan Larson, Kevin Leach

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

Evaluating Out-of-Distribution Performance on Document Image Classifiers.

Stefan Larson, Gordon Lim, Yutong Ai, David Kuang, Kevin Leach

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Exploring Out-of-Distribution Generalization in Text Classifiers Trained on Tobacco-3482 and RVL-CDIP.

Stefan Larson, Navtej Singh, Saarthak Maheshwari, Shanti Stewart, Uma Krishnaswamy

Proceedings of the Document Analysis and Recognition, 2021

LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction.

Jacob Solawetz, Stefan Larson

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Data Query Language and Corpus Tools for Slot-Filling and Intent Classification Data.

Stefan Larson, Eric Guldan, Kevin Leach

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness.

Stefan Larson, Anthony Zheng, Anish Mahendran, Rishi Tekriwal, Adrian Cheung, Eric Guldan, Kevin Leach, Jonathan K. Kummerfeld

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods.

Stefan Larson, Adrian Cheung, Anish Mahendran, Kevin Leach, Jonathan K. Kummerfeld

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Outlier Detection for Improved Data Quality and Diversity in Dialog Systems.

Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction.

Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019