68 citations · 94 across the 6 of their papers we have counts for
5 papers · 1 filter
An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C)
Sijia Liu, Andrew Wen, Liwei Wang +28
While we pay attention to the latest advances in clinical natural language processing (NLP), we can notice some resistance in the clinical and translational research community to a…
Persian-WSD-Corpus: A Sense Annotated Corpus for Persian All-words Word Sense Disambiguation
Hossein Rouhizadeh, Mehrnoush Shamsfard, Vahideh Tajalli +1
Word Sense Disambiguation (WSD) is a long-standing task in Natural Language Processing(NLP) that aims to automatically identify the most relevant meaning of the words in a given co…
COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model
Jingqi Wang, Noor Abu-el-rub, Josh Gray +8
The COVID-19 pandemic swept across the world rapidly, infecting millions of people. An efficient tool that can accurately recognize important clinical concepts of COVID-19 from fre…
Phenotyping of Clinical Notes with Improved Document Classification Models Using Contextualized Neural Language Models
Andriy Mulyar, Elliot Schumacher, Masoud Rouhizadeh +1
Clinical notes contain an extensive record of a patient's health status, such as smoking status or the presence of heart conditions. However, this detail is not replicated within t…
Deriving Verb Predicates By Clustering Verbs with Arguments
Joao Sedoc, Derry Wijaya, Masoud Rouhizadeh +2
Hand-built verb clusters such as the widely used Levin classes (Levin, 1993) have proved useful, but have limited coverage. Verb classes automatically induced from corpus data such…