4 citations · 10 across the 4 of their papers we have counts for
3 papers · 1 filter
Identifying causal relations in tweets using deep learning: Use case on diabetes-related tweets from 2017-2021
Adrian Ahne, Vivek Khetan, Xavier Tannier +6
Objective: Leveraging machine learning methods, we aim to extract both explicit and implicit cause-effect associations in patient-reported, diabetes-related tweets and provide a to…
Template Filling for Controllable Commonsense Reasoning
Dheeraj Rajagopal, Vivek Khetan, Bogdan Sacaleanu +3
Large-scale sequence-to-sequence models have shown to be adept at both multiple-choice and open-domain commonsense reasoning tasks. However, the current systems do not provide the…
MIMICause: Representation and automatic extraction of causal relation types from clinical notes
Vivek Khetan, Md Imbesat Hassan Rizvi, Jessica Huber +3
Understanding causal narratives communicated in clinical notes can help make strides towards personalized healthcare. Extracted causal information from clinical notes can be combin…