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2020 – today
- 2024
[i9]Geeticka Chauhan, Steve Chien, Om Thakkar, Abhradeep Thakurta, Arun Narayanan:
Training Large ASR Encoders with Differential Privacy. CoRR abs/2409.13953 (2024)- 2023
- [i8]Keegan Quigley, Miriam Cha, Josh Barua, Geeticka Chauhan, Seth J. Berkowitz, Steven Horng, Polina Golland:
Bidirectional Captioning for Clinically Accurate and Interpretable Models. CoRR abs/2310.19635 (2023) - 2022
- [c9]Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland:
RadTex: Learning Efficient Radiograph Representations from Text Reports. REMIA@MICCAI 2022: 22-31 - [i7]Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland:
RadTex: Learning Efficient Radiograph Representations from Text Reports. CoRR abs/2208.03218 (2022) - 2021
- [c8]Zhijing Jin, Geeticka Chauhan, Brian Tse, Mrinmaya Sachan, Rada Mihalcea:
How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact. ACL/IJCNLP (Findings) 2021: 3099-3113 - [i6]Zhijing Jin, Geeticka Chauhan, Brian Tse, Mrinmaya Sachan, Rada Mihalcea:
How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact. CoRR abs/2106.02359 (2021) - [i5]Di Jin, Elena Sergeeva, Wei-Hung Weng, Geeticka Chauhan, Peter Szolovits:
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View. CoRR abs/2112.02625 (2021) - 2020
- [c7]Shirly Wang, Matthew B. A. McDermott, Geeticka Chauhan, Marzyeh Ghassemi, Michael C. Hughes, Tristan Naumann:
MIMIC-Extract: a data extraction, preprocessing, and representation pipeline for MIMIC-III. CHIL 2020: 222-235 - [c6]Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland:
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. MICCAI (2) 2020: 529-539 - [i4]Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland:
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. CoRR abs/2008.09884 (2020)
2010 – 2019
- 2019
- [c5]Geeticka Chauhan, Matthew B. A. McDermott, Peter Szolovits:
A Framework for Relation Extraction Across Multiple Datasets in Multiple Domains. WNLP@ACL 2019: 18-20 - [c4]Geeticka Chauhan
, Matthew B. A. McDermott, Peter Szolovits:
REflex: Flexible Framework for Relation Extraction in Multiple Domains. BioNLP@ACL 2019: 30-47 - [i3]Geeticka Chauhan, Matthew B. A. McDermott, Peter Szolovits:
REflex: Flexible Framework for Relation Extraction in Multiple Domains. CoRR abs/1906.08318 (2019) - [i2]Shirly Wang, Matthew B. A. McDermott, Geeticka Chauhan, Michael C. Hughes, Tristan Naumann, Marzyeh Ghassemi:
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III. CoRR abs/1907.08322 (2019) - 2018
- [c3]Labiba Jahan, Geeticka Chauhan, Mark A. Finlayson:
A New Approach to Animacy Detection. COLING 2018: 1-12 - [c2]Di Jin, Franck Dernoncourt, Elena Sergeeva, Matthew B. A. McDermott, Geeticka Chauhan:
MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolution Neural Network. SemEval@NAACL-HLT 2018: 798-804 - [i1]Bret Nestor, Matthew B. A. McDermott, Geeticka Chauhan, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi:
Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation. CoRR abs/1811.12583 (2018) - 2017
- [c1]Labiba Jahan, Geeticka Chauhan, Mark A. Finlayson:
Building on Word Animacy to Determine Coreference Chain Animacy in Cultural Narratives. AIIDE Workshops 2017
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