Parminder Bhatia

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E. Busra CelikkayaAmazonVerified email at amazon.com
Kristjan ArumaeApplied Scientist, QualtricsVerified email at qualtrics.com
Mohammed KhaliliaSr. Applied Scientist - Qualtrics | Adjunct Professor - Birzeit UniversityVerified email at qualtrics.com
Bing XiangDirector of Applied ScienceVerified email at amazon.com
Ramesh Maruthi NallapatiPrincipal Applied Scientist, Amazon AWS AIVerified email at amazon.com
Zijian WangScientist @ AWS AI LabsVerified email at stanford.edu
Jacob EisensteinGoogle ResearchVerified email at google.com
Colby WiseSenior Deep Learning Scientist at Amazon Web Services (AWS)Verified email at netflix.com
Yangfeng JiComputer Science, University of VirginiaVerified email at virginia.edu
Nima PourdamghaniApplied Scientist, Amazon AWSVerified email at amazon.com
Dan RothProfessor of Computer Science, University of PennsylvaniaVerified email at seas.upenn.edu
Vassilis N. Ioannidis, PhDAmazonVerified email at umn.edu
Xiang SongSenior Applied Scientist at Amazon AWSVerified email at amazon.com
George KarypisDistinguished McKnight University Professor, University of MinnesotaVerified email at umn.edu
Wasi Uddin AhmadApplied Scientist, AWS AI LabsVerified email at ucla.edu
Andrew O. ArnoldChief Scientist, DelphiaVerified email at delphia.com
Qing SunPh.D. of Electrical and Computer Engineering, Virginia TechVerified email at vt.edu
Dejiao ZhangSenior Applied Scientist, AWS AI Labs, AmazonVerified email at umich.edu
Baishakhi RayAssociate Professor, Columbia UniversityVerified email at cs.columbia.edu
Murali Krishna RamanathanAWS AI LabsVerified email at amazon.com

Parminder Bhatia

Chief AI Officer, GE Healthcare

Verified email at ge.com - Homepage

Machine Learning Transfer Learning NLP Multi-task Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Better document-level sentiment analysis from rst discourse parsing P Bhatia, Y Ji, J Eisenstein EMNLP 2015, 2015	190	2015
COVID-19 knowledge graph: accelerating information retrieval and discovery for scientific literature C Wise, VN Ioannidis, MR Calvo, X Song, G Price, N Kulkarni, R Brand, ... AACL 2020 Workshop, 2020	66	2020
Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning M Jin, MT Bahadori, A Colak, P Bhatia, B Celikkaya, R Bhakta, ... Machine Learning for Health (ML4H) Workshop at NeurIPS 2018, 2018	60	2018
Joint Entity Extraction and Assertion Detection for Clinical Text P Bhatia, B Celikkaya, M Khalilia Proceedings of the 57th Conference of the Association for Computational …, 2019	49*	2019
Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service P Bhatia, B Celikkaya, M Khalilia, S Senthivel IEEE ICMLA, 2019	44	2019
Morphological priors for probabilistic neural word embeddings P Bhatia, R Guthrie, J Eisenstein EMNLP 2016, 2016	43	2016
Dynamic Transfer Learning for Named Entity Recognition P Bhatia, K Arumae, B Celikkaya (AAAI) 2019 Workshop on Health Intelligence, 2019	32	2019
LATTE: Latent Type Modeling for Biomedical Entity Linking M Zhu, CR Busra Cellikaya, Parminder Bhatia AAAI 2020, 2020	28	2020
Relation extraction using explicit context conditioning GS Tomar, P Bhatia Proceedings of the 2019 Conference of the North American Chapter of the …, 2019	19*	2019
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events M Ballesteros, R Anubhai, S Wang, N Pourdamghani, Y Vyas, J Ma, ... ACL 2020, 2020	18	2020
Knowledge enhanced pretrained language models: A compreshensive survey X Wei, S Wang, D Zhang, P Bhatia, A Arnold arXiv preprint arXiv:2110.08455, 2021	17	2021
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization Z Li, Z Wang, M Tan, R Nallapati, P Bhatia, A Arnold, B Xiang, D Roth arXiv preprint arXiv:2203.11239, 2022	16	2022
Multi-lingual Evaluation of Code Generation Models B Athiwaratkun, SK Gouda, Z Wang, X Li, Y Tian, M Tan, WU Ahmad, ... arXiv preprint arXiv:2210.14868, 2022	11	2022
soc2seq: Social Embedding meets Conversation Model P Bhatia, M Gavalda, A Einolghozati NIPS 17 Conversational-AI Workshop, 2017	11	2017
AWS CORD-19 search: a neural search engine for COVID-19 literature P Bhatia, L Liu, K Arumae, N Pourdamghani, S Deshpande, B Snively, ... AI for Disease Surveillance and Pandemic Intelligence: Intelligent Disease …, 2022	9*	2022
Towards clinical encounter summarization: Learning to compose discharge summaries from prior notes HC Shing, C Shivade, N Pourdamghani, F Nan, P Resnik, D Oard, ... arXiv preprint arXiv:2104.13498, 2021	8	2021
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training K Arumae, Q Sun, P Bhatia ACL 2020, 2020	6	2020
Towards annotating and creating summary highlights at sub-sentence level K Arumae, P Bhatia, F Liu Proceedings of the 2nd Workshop on New Frontiers in Summarization, 64-69, 2019	6	2019
Profit Analysis of a Two-Unit Cold Standby Centrifuge System with Single Repairman V Kumar, P Bhatia, S Ahamd International Journal of Scientific & Engineering Research 5 (6), 509-513, 2014	6	2014
Zero-shot medical entity retrieval without annotation: Learning from rich knowledge graph semantics L Kong, C Winestock, P Bhatia arXiv preprint arXiv:2105.12682, 2021	5	2021

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