Geeticka Chauhan

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 17

Top Topics

Relation Extraction

Field Of Natural Language Processing

Chest Radiographs

Top Venues

Publications

Keegan Quigley, Miriam Cha, Josh Barua, Geeticka Chauhan, Seth J. Berkowitz, Steven Horng, Polina Golland
Bidirectional Captioning for Clinically Accurate and Interpretable Models. CoRR (2023)
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)
Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland
RadTex: Learning Efficient Radiograph Representations from Text Reports. CoRR (2022)
Di Jin, Elena Sergeeva, Wei-Hung Weng, Geeticka Chauhan, Peter Szolovits
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View. CoRR (2021)
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)
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 (2021)
Geeticka Chauhan, Ruizhi Liao, William Wells, 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)
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)
Geeticka Chauhan, Ruizhi Liao, William Wells, 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 (2020)
Geeticka Chauhan, Matthew B. A. McDermott, Peter Szolovits
A Framework for Relation Extraction Across Multiple Datasets in Multiple Domains. WNLP@ACL (2019)
Geeticka Chauhan, Matthew B. A. McDermott, Peter Szolovits
REflex: Flexible Framework for Relation Extraction in Multiple Domains. CoRR (2019)
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 (2019)
Geeticka Chauhan, Matthew B. A. McDermott, Peter Szolovits
REflex: Flexible Framework for Relation Extraction in Multiple Domains. BioNLP@ACL (2019)
Labiba Jahan, Geeticka Chauhan, Mark A. Finlayson
A New Approach to Animacy Detection. COLING (2018)
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 (2018)
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)
Labiba Jahan, Geeticka Chauhan, Mark A. Finlayson
Building on Word Animacy to Determine Coreference Chain Animacy in Cultural Narratives. AIIDE Workshops (2017)