Heineman, David, Dou, Yao, and Xu, Wei. Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation. Retrieved from https://par.nsf.gov/biblio/10511652. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations . Web. doi:10.18653/v1/2023.emnlp-demo.30.

Heineman, David, Dou, Yao, & Xu, Wei. Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, (). Retrieved from https://par.nsf.gov/biblio/10511652. https://doi.org/10.18653/v1/2023.emnlp-demo.30

Heineman, David, Dou, Yao, and Xu, Wei. "Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation". Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (). Country unknown/Code not available: Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-demo.30. https://par.nsf.gov/biblio/10511652.

@article{osti_10511652,
place = {Country unknown/Code not available}, title = {Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation}, url = {https://par.nsf.gov/biblio/10511652}, DOI = {10.18653/v1/2023.emnlp-demo.30}, abstractNote = {}, journal = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations}, publisher = {Association for Computational Linguistics}, author = {Heineman, David and Dou, Yao and Xu, Wei}, }