Sarah K. K. Luger

According to our database1, Sarah K. K. Luger authored at least 17 papers between 2005 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data.
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Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons.
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CoRR, March, 2025

2024
Rater Cohesion and Quality from a Vicarious Perspective.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Offensiveness as an Opinion: Dissecting population-level Label Distributions.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021
Domain-specific MT for Low-resource Languages: The case of Bambara-French.
Proceedings of the 2nd AfricaNLP Workshop Proceedings, AfricaNLP@EACL 2021, Virtual Event, 2021

2020
Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara.
CoRR, 2020

Assessing Human Translations from French to Bambara for Machine Learning: a Pilot Study.
Proceedings of the 1st AfricaNLP Workshop Proceedings, 2020

Health Care Misinformation: an Artificial Intelligence Challenge for Low-resource languages.
Proceedings of the AAAI Fall Symposium on AI for Social Good, 2020

2017
Beyond Mechanical Turk: Using Techniques from Meta Learning to Compare Crowdsourcing Platforms Across Languages.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Algorithms for assessing the quality and difficulty of multiple choice exam questions.
PhD thesis, 2016

Comparative Methods and Analysis for Creating High-Quality Question Sets from Crowdsourced Data.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

2013
Two Methods for Measuring Question Difficulty and Discrimination in Incomplete Crowdsourced Data.
Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

An analysis of question quality and user performance in crowdsourced exams.
Proceedings of the 2013 Workshop on Data-Driven User Behavioral Modelling and Mining from Social Media, 2013

2011
A Graph Theory Approach for Generating Multiple Choice Exams.
Proceedings of the Question Generation, 2011

2007
Type nanotheories: a framework for term comparison.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

2005
Automated Terminological and Structural Analysis of Human-Mouse Anatomical Ontology Mappings.
BMC Bioinform., 2005


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