15 citations · 33 across the 4 of their papers we have counts for
4 papers
Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes
Han-Chin Shing, Chaitanya Shivade, Nima Pourdamghani +4
The records of a clinical encounter can be extensive and complex, thus placing a premium on tools that can extract and summarize relevant information. This paper introduces the tas…
AWS CORD-19 Search: A Neural Search Engine for COVID-19 Literature
Parminder Bhatia, Lan Liu, Kristjan Arumae +12
Coronavirus disease (COVID-19) has been declared as a pandemic by WHO with thousands of cases being reported each day. Numerous scientific articles are being published on the disea…
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events
Miguel Ballesteros, Rishita Anubhai, Shuai Wang +6
In this paper, we propose a neural architecture and a set of training methods for ordering events by predicting temporal relations. Our proposed models receive a pair of events wit…
Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation
Nima Pourdamghani, Nada Aldarrab, Marjan Ghazvininejad +2
Given a rough, word-by-word gloss of a source language sentence, target language natives can uncover the latent, fully-fluent rendering of the translation. In this work we explore…