Daniel Deutsch
According to our database1,
Daniel Deutsch
authored at least 29 papers
between 2018 and 2023.
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Bibliography
2023
Pinpoint, Not Criticize: Refining Large Language Models via Fine-Grained Actionable Feedback.
CoRR, 2023
The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation.
CoRR, 2023
Proceedings of the Eighth Conference on Machine Translation, 2023
Proceedings of the Eighth Conference on Machine Translation, 2023
Proceedings of the Eighth Conference on Machine Translation, 2023
Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent.
Proceedings of the Eighth Conference on Machine Translation, 2023
The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation.
Proceedings of the Eighth Conference on Machine Translation, 2023
Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level.
Proceedings of the Eighth Conference on Machine Translation, 2023
The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics.
Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems, 2023
Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span Selection.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Needle in a Haystack: An Analysis of Finding Qualified Workers on MTurk for Summarization.
CoRR, 2022
Repro: An Open-Source Library for Improving the Reproducibility and Usability of Publicly Available Research Code.
CoRR, 2022
Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
2021
Trans. Assoc. Comput. Linguistics, 2021
Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary.
Trans. Assoc. Comput. Linguistics, 2021
CoRR, 2021
Understanding the Extent to which Content Quality Metrics Measure the Information Quality of Summaries.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021
2020
Understanding the Extent to which Summarization Evaluation Metrics Measure the Information Quality of Summaries.
CoRR, 2020
SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics.
CoRR, 2020
Is Killed More Significant than Fled? A Contextual Model for Salient Event Detection.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019
2018
A Distributional and Orthographic Aggregation Model for English Derivational Morphology.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018