Shanheng Zhao and Hwee Tou Ng. 2014. Domain Adaptation with Active Learning for Coreference Resolution. In Proceedings of the 5th International Workshop on ...
Experimental results show that domain adaptation with active learning and target domain instance weighting achieves performance on MEDLINE abstracts similar ...
In this paper, we present an approach integrating domain adaptation with active learning to adapt coreference resolution from the newswire domain to the ...
Domain Adaptation with Active Learning for Coreference Resolution. WS 2014 · Shanheng Zhao, Hwee Tou Ng · Edit social preview.
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This paper investigates an approach to active learning for coreference resolution that feeds discrete annotations to an incremental clustering model and ...
Domain Adaptation with Active Learning for Coreference Resolution
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Table of Contents. Abstract; 1 Introduction; 2 Related Work; 3 Coreference Resolution; 4 Domain Adaptation with Active Learning. 4.1 Domain Adaptation. 4.1.1 A ...
Neural coreference resolution models trained on one dataset may not transfer to new, low- resource domains. Active learning mitigates.
We present an active learning method for coreference resolution that is novel in three respects. (i) It uses bootstrapped neighborhood pooling, ...
Jul 12, 2012 · We propose an adaptive ensemble method to adapt coreference resolution across domains. This method has three features: (1) it can optimize ...
Active Learning for Coreference Resolution ... Simplified Neural Unsupervised Domain Adaptation · Two-stage Federated Phenotyping and Patient Representation ...