Underreporting of errors in NLG output, and what to do about it E Van Miltenburg, MA Clinciu, O Dušek, D Gkatzia, S Inglis, L Leppänen, ... Proceedings of the 14th International Conference on Natural Language Generation, 2021 | 34 | 2021 |
“This is a Problem, Don’t You Agree?” Framing and Bias in Human Evaluation for Natural Language Generation S Schoch, D Yang, Y Ji Proceedings of the 1st Workshop on Evaluating NLG Evaluation, 10-16, 2020 | 29 | 2020 |
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification S Schoch, H Xu, Y Ji NeurIPS 2022, 2022 | 18 | 2022 |
Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values S Schoch, R Mishra, Y Ji ACL SRW 2023, 2023 | 9 | 2023 |
Barriers and enabling factors for error analysis in NLG research E Van Miltenburg, M Clinciu, O Dušek, D Gkatzia, S Inglis, L Leppänen, ... Northern European Journal of Language Technology 9 (1), 2023 | 7 | 2023 |
Contextualizing Variation in Text Style Transfer Datasets S Schoch, W Du, Y Ji Proceedings of the 14th International Conference on Natural Language Generation, 2021 | 6 | 2021 |
Ask and you shall receive?: A LibAnswers FAQ usability study S Schoch, A VerMeulen Weave: Journal of Library User Experience 5 (2), 2022 | 1 | 2022 |