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Parminder Bhatia
Parminder Bhatia
Chief AI Officer, GE Healthcare
Preverjeni e-poštni naslov na ge.com - Domača stran
Naslov
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Leto
Better document-level sentiment analysis from rst discourse parsing
P Bhatia, Y Ji, J Eisenstein
EMNLP 2015, 2015
2012015
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
772020
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
662018
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
53*2019
Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service
P Bhatia, B Celikkaya, M Khalilia, S Senthivel
IEEE ICMLA, 2019
512019
Morphological priors for probabilistic neural word embeddings
P Bhatia, R Guthrie, J Eisenstein
EMNLP 2016, 2016
432016
LATTE: Latent Type Modeling for Biomedical Entity Linking
M Zhu, CR Busra Cellikaya, Parminder Bhatia
AAAI 2020, 2020
372020
Dynamic Transfer Learning for Named Entity Recognition
P Bhatia, K Arumae, B Celikkaya
(AAAI) 2019 Workshop on Health Intelligence, 2019
332019
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
242022
Knowledge enhanced pretrained language models: A compreshensive survey
X Wei, S Wang, D Zhang, P Bhatia, A Arnold
arXiv preprint arXiv:2110.08455, 2021
232021
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
222020
Relation extraction using explicit context conditioning
GS Tomar, P Bhatia
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
20*2019
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
192022
AWS CORD-19 search: a neural search engine for COVID-19 literature
P Bhatia, L Liu, K Arumae, N Pourdamghani, S Deshpande, B Snively, ...
International Workshop on Health Intelligence, 131-145, 2021
13*2021
soc2seq: Social Embedding meets Conversation Model
P Bhatia, M Gavalda, A Einolghozati
NIPS 17 Conversational-AI Workshop, 2017
122017
Cocomic: Code completion by jointly modeling in-file and cross-file context
Y Ding, Z Wang, WU Ahmad, MK Ramanathan, R Nallapati, P Bhatia, ...
arXiv preprint arXiv:2212.10007, 2022
102022
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
102021
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training
K Arumae, Q Sun, P Bhatia
ACL 2020, 2020
72020
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
62021
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
62019
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