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%0 Conference Proceedings
%T Evaluating D-MERIT of Partial-annotation on Information Retrieval
%A Rassin, Royi
%A Fairstein, Yaron
%A Kalinsky, Oren
%A Kushilevitz, Guy
%A Cohen, Nachshon
%A Libov, Alexander
%A Goldberg, Yoav
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F rassin-etal-2024-evaluating
%R 10.18653/v1/2024.emnlp-main.171
%U https://aclanthology.org/2024.emnlp-main.171
%U https://doi.org/10.18653/v1/2024.emnlp-main.171
%P 2913-2932

Markdown (Informal)

[Evaluating D-MERIT of Partial-annotation on Information Retrieval](https://aclanthology.org/2024.emnlp-main.171) (Rassin et al., EMNLP 2024)

• Evaluating D-MERIT of Partial-annotation on Information Retrieval (Rassin et al., EMNLP 2024)

ACL

• Royi Rassin, Yaron Fairstein, Oren Kalinsky, Guy Kushilevitz, Nachshon Cohen, Alexander Libov, and Yoav Goldberg. 2024. Evaluating D-MERIT of Partial-annotation on Information Retrieval. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 2913–2932, Miami, Florida, USA. Association for Computational Linguistics.