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Debiasing Neural Retrieval via In-batch Balancing Regularization


May 18, 2022
Yuantong Li, Xiaokai Wei, Zijian Wang, Shen Wang, Parminder Bhatia, Xiaofei Ma, Andrew Arnold

* 9 pages, 1 figure, and 3 tables. A version appears in the Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP), 2022 

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DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization


Mar 21, 2022
Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew Arnold, Bing Xiang, Dan Roth

* ACL 2022 

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Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking


Nov 11, 2021
Denis Jered McInerney, Luyang Kong, Kristjan Arumae, Byron Wallace, Parminder Bhatia


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Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey


Oct 16, 2021
Xiaokai Wei, Shen Wang, Dejiao Zhang, Parminder Bhatia, Andrew Arnold


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Improving Early Sepsis Prediction with Multi Modal Learning


Jul 23, 2021
Fred Qin, Vivek Madan, Ujjwal Ratan, Zohar Karnin, Vishaal Kapoor, Parminder Bhatia, Taha Kass-Hout


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Neural Entity Recognition with Gazetteer based Fusion


May 27, 2021
Qing Sun, Parminder Bhatia

* the Association for Computational Linguistics (ACL) 2021 

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Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics


May 26, 2021
Luyang Kong, Christopher Winestock, Parminder Bhatia


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Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes


Apr 27, 2021
Han-Chin Shing, Chaitanya Shivade, Nima Pourdamghani, Feng Nan, Philip Resnik, Douglas Oard, Parminder Bhatia


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An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training


Oct 01, 2020
Kristjan Arumae, Qing Sun, Parminder Bhatia

* arXiv admin note: text overlap with arXiv:2004.03794 

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Improve black-box sequential anomaly detector relevancy with limited user feedback


Sep 15, 2020
Luyang Kong, Lifan Chen, Ming Chen, Parminder Bhatia, Laurent Callot


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