Rashkin, Hannah

COMET: Commonsense Transformers for Automatic Knowledge Graph Construction

Bosselut, A., Rashkin, H., Sap, M., Malaviya, C., Celikyilmaz, A., & Choi, Y. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingMultimodal Machine Learning Applications

Cited by 904

Defending Against Neural Fake News

Zellers, R., Holtzman, A., Rashkin, H., Bisk, Y., Farhadi, A., Roesner, F., & Choi, Y. (2019) · arXiv

Misinformation and Its ImpactsAdversarial Robustness in Machine Learning

Cited by 569

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 569

Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features

Rashkin, H., Reitter, D., Tomar, G. S., & Das, D. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Speech and dialogue systemsTopic Modeling

Cited by 74

Measuring Attribution in Natural Language Generation Models

Rashkin, H., Nikolaev, V., Lamm, M., Aroyo, L., Collins, M., Das, D., Petrov, S., Tomar, G. S., Turc, I., & Reitter, D. (2023) · Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 71

Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark

Dziri, N., Rashkin, H., Linzen, T., & Reitter, D. (2021) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 47

Measuring Attribution in Natural Language Generation Models

Rashkin, H., Nikolaev, V., Lamm, M., Aroyo, L., Collins, M., Das, D., Petrov, S., Tomar, G. S., Turc, I., & Reitter, D. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 34