no code implementations • 27 Apr 2021 • Han-Chin Shing, Chaitanya Shivade, Nima Pourdamghani, Feng Nan, Philip Resnik, Douglas Oard, Parminder Bhatia
The records of a clinical encounter can be extensive and complex, thus placing a premium on tools that can extract and summarize relevant information.
no code implementations • 17 Jul 2020 • Parminder Bhatia, Lan Liu, Kristjan Arumae, Nima Pourdamghani, Suyog Deshpande, Ben Snively, Mona Mona, Colby Wise, George Price, Shyam Ramaswamy, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang, Taha Kass-Hout
Coronavirus disease (COVID-19) has been declared as a pandemic by WHO with thousands of cases being reported each day.
no code implementations • EMNLP 2020 • Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen McKeown, Yaser Al-Onaizan
In this paper, we propose a neural architecture and a set of training methods for ordering events by predicting temporal relations.
no code implementations • ACL 2019 • Nima Pourdamghani, Nada Aldarrab, Marjan Ghazvininejad, Kevin Knight, Jonathan May
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.
no code implementations • NAACL 2018 • Nima Pourdamghani, Marjan Ghazvininejad, Kevin Knight
We present a method for improving word alignments using word similarities.
no code implementations • EMNLP 2017 • Nima Pourdamghani, Kevin Knight
We present a method for translating texts between close language pairs.