36 citations · 36 across the 2 of their papers we have counts for
3 papers · 1 filter
emrQA: A Large Corpus for Question Answering on Electronic Medical Records
Anusri Pampari, Preethi Raghavan, Jennifer Liang +1
We propose a novel methodology to generate domain-specific large-scale question answering (QA) datasets by re-purposing existing annotations for other NLP tasks. We demonstrate an…
Annotating Electronic Medical Records for Question Answering
Preethi Raghavan, Siddharth Patwardhan, Jennifer J. Liang +1
Our research is in the relatively unexplored area of question answering technologies for patient-specific questions over their electronic health records. A large dataset of human e…
Addressing Limited Data for Textual Entailment Across Domains
Chaitanya Shivade, Preethi Raghavan, Siddharth Patwardhan
We seek to address the lack of labeled data (and high cost of annotation) for textual entailment in some domains. To that end, we first create (for experimental purposes) an entail…