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2020 – today
- 2024
[c13]Markus Freitag, Nitika Mathur, Daniel Deutsch, Chi-kiu Lo, Eleftherios Avramidis, Ricardo Rei, Brian Thompson, Frédéric Blain, Tom Kocmi, Jiayi Wang, David Ifeoluwa Adelani, Marianna Buchicchio, Chrysoula Zerva, Alon Lavie:
Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared Task. WMT 2024: 47-81- [c12]Brian Thompson, Nitika Mathur, Daniel Deutsch, Huda Khayrallah:
Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy. WMT 2024: 1222-1234 - [i2]Brian Thompson, Nitika Mathur, Daniel Deutsch, Huda Khayrallah:
Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy. CoRR abs/2409.09598 (2024) - 2023
- [c11]Markus Freitag, Nitika Mathur, Chi-kiu Lo, Eleftherios Avramidis, Ricardo Rei
, Brian Thompson, Tom Kocmi, Frédéric Blain, Daniel Deutsch, Craig Stewart, Chrysoula Zerva, Sheila Castilho, Alon Lavie, George F. Foster:
Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent. WMT 2023: 578-628 - 2022
- [c10]Markus Freitag, Ricardo Rei, Nitika Mathur, Chi-kiu Lo, Craig Stewart, Eleftherios Avramidis, Tom Kocmi, George F. Foster, Alon Lavie, André F. T. Martins:
Results of WMT22 Metrics Shared Task: Stop Using BLEU - Neural Metrics Are Better and More Robust. WMT 2022: 46-68 - 2021
- [b1]Nitika Mathur:
Robustness in Machine Translation Evaluation. University of Melbourne, Parkville, Victoria, Australia, 2021 - [c9]Markus Freitag, Ricardo Rei, Nitika Mathur, Chi-kiu Lo, Craig Stewart, George F. Foster, Alon Lavie, Ondrej Bojar:
Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain. WMT@EMNLP 2021: 733-774 - 2020
- [c8]Nitika Mathur, Timothy Baldwin, Trevor Cohn:
Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics. ACL 2020: 4984-4997 - [c7]Nitika Mathur, Johnny Wei, Markus Freitag, Qingsong Ma, Ondrej Bojar:
Results of the WMT20 Metrics Shared Task. WMT@EMNLP 2020: 688-725 - [i1]Nitika Mathur, Tim Baldwin, Trevor Cohn:
Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics. CoRR abs/2006.06264 (2020)
2010 – 2019
- 2019
- [c6]Nitika Mathur, Timothy Baldwin, Trevor Cohn:
Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation. ACL (1) 2019: 2799-2808 - 2018
- [c5]Nitika Mathur, Timothy Baldwin, Trevor Cohn:
Towards Efficient Machine Translation Evaluation by Modelling Annotators. ALTA 2018: 77-82 - 2017
- [c4]Nitika Mathur, Timothy Baldwin, Trevor Cohn:
Sequence Effects in Crowdsourced Annotations. EMNLP 2017: 2860-2865 - 2015
- [c3]Bahar Salehi, Nitika Mathur, Paul Cook, Timothy Baldwin:
The Impact of Multiword Expression Compositionality on Machine Translation Evaluation. MWE@NAACL-HLT 2015: 54-59 - [c2]Yvette Graham, Timothy Baldwin, Nitika Mathur:
Accurate Evaluation of Segment-level Machine Translation Metrics. HLT-NAACL 2015: 1183-1191 - 2014
- [c1]Yvette Graham, Nitika Mathur, Timothy Baldwin:
Randomized Significance Tests in Machine Translation. WMT@ACL 2014: 266-274
Coauthor Index
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