John P. Lalor

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Topics

Natural Language

Item Response Theory

Majority Voting

Top Venues

Publications

John P. Lalor, Ahmed Abbasi, Kezia Oketch, Yi Yang, Nicole Forsgren
Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines. ACM Trans. Inf. Syst. 42 (4) (2024)
John P. Lalor, Hao Wu, Kathleen M. Mazor, Hong Yu
Evaluating the efficacy of NoteAid on EHR note comprehension among US Veterans through Amazon Mechanical Turk. Int. J. Medical Informatics 172 (2023)
Xiaojing Duan, John P. Lalor
H-COAL: Human Correction of AI-Generated Labels for Biomedical Named Entity Recognition. CoRR (2023)
Wenchang Li, Yixing Chen, John P. Lalor
Stars Are All You Need: A Distantly Supervised Pyramid Network for Document-Level End-to-End Sentiment Analysis. CoRR (2023)
Yi Yang, Hanyu Duan, Ahmed Abbasi, John P. Lalor, Kar Yan Tam
Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads. CoRR (2023)
Kaitlin D. Wowak, John P. Lalor, Sriram Somanchi, Corey M. Angst
Business Analytics in Healthcare: Past, Present, and Future Trends. Manuf. Serv. Oper. Manag. 25 (3) (2023)
John P. Lalor, Pedro Rodríguez
py-irt: A Scalable Item Response Theory Library for Python. CoRR (2022)
John P. Lalor, Hong Guo
Measuring algorithmic interpretability: A human-learning-based framework and the corresponding cognitive complexity score. CoRR (2022)
Nicholas Berente, John P. Lalor, Sriram Somanchi, Ahmed Abbasi
The Illusion of Certainty and Data-Driven Decision Making in Emergent Situations. ICIS (2021)
Pedro Rodriguez, Joe Barrow, Alexander Miserlis Hoyle, John P. Lalor, Robin Jia, Jordan L. Boyd-Graber
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ACL/IJCNLP (1) (2021)
Ahmed Abbasi, David G. Dobolyi, John P. Lalor, Richard G. Netemeyer, Kendall Smith, Yi Yang
Constructing a Psychometric Testbed for Fair Natural Language Processing. EMNLP (1) (2021)
Hani Safadi, John P. Lalor, Nicholas Berente
The Effect of Bots on Human Interaction in Online Communities. ICIS (2021)
John P. Lalor, Hong Yu
Dynamic Data Selection for Curriculum Learning via Ability Estimation. EMNLP (Findings) (2020)
Ming-Cheng Ma, John P. Lalor
An Empirical Analysis of Human-Bot Interaction on Reddit. W-NUT@EMNLP (2020)
John P. Lalor, Hong Yu
Dynamic Data Selection for Curriculum Learning via Ability Estimation. CoRR (2020)
Eunah Cho, He Xie, John P. Lalor, Varun Kumar, William M. Campbell
Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity. CoRR (2019)
Eunah Cho, He Xie, John P. Lalor, Varun Kumar, William M. Campbell
Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity. ASRU (2019)
John P. Lalor, Hao Wu, Hong Yu
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds. EMNLP/IJCNLP (1) (2019)
John P. Lalor, Hao Wu, Hong Yu
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds. CoRR (2019)
Jinying Chen, John P. Lalor, Hong Yu
Detecting Hypoglycemia Incidents from Patients' Secure Messages. AMIA (2018)
John P. Lalor, Hao Wu, Hong Yu
Improving Machine Learning Ability with Fine-Tuning. CoRR (2017)
John P. Lalor, Hao Wu, Tsendsuren Munkhdalai, Hong Yu
An Analysis of Machine Learning Intelligence. CoRR (2017)
John P. Lalor, Hao Wu, Li Chen, Kathleen Mazor, Hong Yu
Generating a Test of Electronic Health Record Narrative Comprehension with Item Response Theory. AMIA (2017)
John P. Lalor, Hao Wu, Hong Yu
Beyond Majority Voting: Generating Evaluation Scales using Item Response Theory. CoRR (2016)
John P. Lalor, Hao Wu, Hong Yu
Building an Evaluation Scale using Item Response Theory. EMNLP (2016)