To Annotate or Not? Predicting Performance Drop under Domain Shift

Research article (Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019) · cited 83× · AI/ML
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To Annotate or Not? Predicting Performance Drop under Domain Shift

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To Annotate or Not? Predicting Performance Drop under Domain Shift is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). To Annotate or Not? Predicting Performance Drop under Domain Shift. Retrieved May 24, 2026, from https://4ort.xyz/entity/to-annotate-or-not-predicting-performance-drop-under-domain-shift
MLA “To Annotate or Not? Predicting Performance Drop under Domain Shift.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/to-annotate-or-not-predicting-performance-drop-under-domain-shift.
BibTeX @misc{4ortxyz_to-annotate-or-not-predicting-performance-drop-under-domain-shift_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{To Annotate or Not? Predicting Performance Drop under Domain Shift}}, year = {2026}, url = {https://4ort.xyz/entity/to-annotate-or-not-predicting-performance-drop-under-domain-shift}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): To Annotate or Not? Predicting Performance Drop under Domain Shift — https://4ort.xyz/entity/to-annotate-or-not-predicting-performance-drop-under-domain-shift (retrieved 2026-05-24)

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