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2020 – today
- 2024
[c13]Zhijian Li, Stefan Larson, Kevin Leach:
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification. LREC/COLING 2024: 7634-7646- [c12]Stefan Larson, Nicole Lima, Santiago Diaz, Amogh Joshi, Siddharth Betala, Jamiu Suleiman, Yash Mathur, Kaushal Prajapati, Ramla Alakraa, Junjie Shen, Temi Okotore, Kevin Leach:
De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP. EMNLP 2024: 21494-21505 - [i12]Zhijian Li, Stefan Larson, Kevin Leach:
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification. CoRR abs/2403.05640 (2024) - [i11]Zhijian Li, Stefan Larson, Kevin Leach:
Document Type Classification using File Names. CoRR abs/2410.01166 (2024) - 2023
- [c11]Stefan Larson, Gordon Lim, Kevin Leach:
On Evaluation of Document Classifiers using RVL-CDIP. EACL 2023: 2657-2670 - [c10]Alexander Groleau, Kok Wei Chee, Stefan Larson, Samay Maini, Jonathan Boarman:
Augraphy: A Data Augmentation Library for Document Images. ICDAR (3) 2023: 384-401 - [i10]Alexander Groleau, Kok Wei Chee, Stefan Larson, Samay Maini, Jonathan Boarman:
ShabbyPages: A Reproducible Document Denoising and Binarization Dataset. CoRR abs/2303.09339 (2023) - [i9]Stefan Larson, Gordon Lim, Kevin Leach:
On Evaluation of Document Classification using RVL-CDIP. CoRR abs/2306.12550 (2023) - 2022
- [c9]Stefan Larson, Gordon Lim, Yutong Ai, David Kuang, Kevin Leach:
Evaluating Out-of-Distribution Performance on Document Image Classifiers. NeurIPS 2022 - [c8]Stefan Larson, Kevin Leach:
Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset. SIGDIAL 2022: 468-477 - [i8]Stefan Larson, Kevin Leach:
Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset. CoRR abs/2204.05483 (2022) - [i7]Stefan Larson, Kevin Leach:
A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialog. CoRR abs/2207.13211 (2022) - [i6]Samay Maini, Alexander Groleau, Kok Wei Chee, Stefan Larson, Jonathan Boarman:
Augraphy: A Data Augmentation Library for Document Images. CoRR abs/2208.14558 (2022) - [i5]Stefan Larson, Gordon Lim, Yutong Ai, David Kuang, Kevin Leach:
Evaluating Out-of-Distribution Performance on Document Image Classifiers. CoRR abs/2210.07448 (2022) - 2021
- [c7]Jacob Solawetz, Stefan Larson:
LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction. EACL 2021: 2595-2600 - [c6]Stefan Larson, Navtej Singh, Saarthak Maheshwari, Shanti Stewart, Uma Krishnaswamy:
Exploring Out-of-Distribution Generalization in Text Classifiers Trained on Tobacco-3482 and RVL-CDIP. ICDAR Workshops (2) 2021: 416-423 - [i4]Jacob Solawetz, Stefan Larson:
LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction. CoRR abs/2101.11177 (2021) - [i3]Stefan Larson, Navtej Singh, Saarthak Maheshwari, Shanti Stewart, Uma Krishnaswamy:
Exploring Out-of-Distribution Generalization in Text Classifiers Trained on Tobacco-3482 and RVL-CDIP. CoRR abs/2108.02684 (2021) - 2020
- [c5]Stefan Larson, Adrian Cheung, Anish Mahendran, Kevin Leach, Jonathan K. Kummerfeld:
Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods. COLING 2020: 5035-5046 - [c4]Stefan Larson, Anthony Zheng, Anish Mahendran, Rishi Tekriwal, Adrian Cheung, Eric Guldan, Kevin Leach, Jonathan K. Kummerfeld:
Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness. EMNLP (1) 2020: 8097-8106 - [c3]Stefan Larson, Eric Guldan, Kevin Leach:
Data Query Language and Corpus Tools for Slot-Filling and Intent Classification Data. LREC 2020: 7060-7068
2010 – 2019
- 2019
- [c2]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:
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. EMNLP/IJCNLP (1) 2019: 1311-1316 - [c1]Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars:
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. NAACL-HLT (1) 2019: 517-527 - [i2]Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars:
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. CoRR abs/1904.03122 (2019) - [i1]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:
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. CoRR abs/1909.02027 (2019)
Coauthor Index
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