January 1, 2019Open Access

To Annotate or Not? Predicting Performance Drop under Domain Shift

Key Points

Key points are not available for this paper at this time.

Abstract

Hady Elsahar, Matthias Gallé. 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.

Ask AI

Helpful

Bookmark

View Full Paper

Cite This Study

Elsahar et al. (Tue,) studied this question.

synapsesocial.com/papers/6a172260c7240d1a707c0fcd https://doi.org/https://doi.org/10.18653/v1/d19-1222

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Improving predictive inference under covariate shift by weighting the log-likelihood function2000 · 1,682 citations
2Intelligent Selection of Language Model Training Data2010 · 539 citations
3Reverse testing2006 · 38 citations
4Training Confidence-calibrated Classifiers for Detecting\n Out-of-Distribution Samples2017 · 369 citations
5Automatic prediction of parser accuracy2008 · 45 citations

Ask AI

Helpful

Bookmark

View Full Paper