Spremljaj
Parminder Bhatia
Parminder Bhatia
Chief AI Officer, GE Healthcare
Preverjeni e-poštni naslov na ge.com - Domača stran
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Leto
Better document-level sentiment analysis from rst discourse parsing
P Bhatia, Y Ji, J Eisenstein
EMNLP 2015, 2015
2222015
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
922020
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
742018
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
682022
Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service
P Bhatia, B Celikkaya, M Khalilia, S Senthivel
IEEE ICMLA, 2019
662019
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
57*2019
LATTE: Latent Type Modeling for Biomedical Entity Linking
M Zhu, CR Busra Cellikaya, Parminder Bhatia
AAAI 2020, 2020
462020
Morphological priors for probabilistic neural word embeddings
P Bhatia, R Guthrie, J Eisenstein
EMNLP 2016, 2016
452016
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
402022
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
382022
Knowledge enhanced pretrained language models: A compreshensive survey
X Wei, S Wang, D Zhang, P Bhatia, A Arnold
arXiv preprint arXiv:2110.08455, 2021
362021
Dynamic Transfer Learning for Named Entity Recognition
P Bhatia, K Arumae, B Celikkaya
(AAAI) 2019 Workshop on Health Intelligence, 2019
352019
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
262020
Crosscodeeval: A diverse and multilingual benchmark for cross-file code completion
Y Ding, Z Wang, W Ahmad, H Ding, M Tan, N Jain, MK Ramanathan, ...
Advances in Neural Information Processing Systems 36, 2024
252024
Relation extraction using explicit context conditioning
GS Tomar, P Bhatia
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
23*2019
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
172021
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
14*2021
Linear spaces of meanings: compositional structures in vision-language models
M Trager, P Perera, L Zancato, A Achille, P Bhatia, S Soatto
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
13*2023
Recode: Robustness evaluation of code generation models
S Wang, Z Li, H Qian, C Yang, Z Wang, M Shang, V Kumar, S Tan, B Ray, ...
arXiv preprint arXiv:2212.10264, 2022
132022
soc2seq: Social Embedding meets Conversation Model
P Bhatia, M Gavalda, A Einolghozati
NIPS 17 Conversational-AI Workshop, 2017
132017
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