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SIGIR 2024 M2.5 [fp] Exogenous & Endogenous Data Augmentation for Low-Res Complex Named Entity Rec

Association for Computing Machinery (ACM)49.8K subscribers

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Applies exogenous and endogenous data augmentation for low-resource named entity recognition. Demonstrates augmentation strategies for improving rare-entity extraction.

A 14-minute video from Association for Computing Machinery (ACM): “SIGIR 2024 M2.5 [fp] Exogenous & Endogenous Data Augmentation for Low-Res Complex Named Entity Rec”.

Programming & CS

Video by Association for Computing Machinery (ACM), played through YouTube's embedded player.

Part of ACM SIGIR Conference 2024