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Found 15 papers, 1 papers with code
Persian SemCor: A Bag of Word Sense Annotated Corpus for the Persian Language
Supervised approaches usually achieve the best performance in the Word Sense Disambiguation problem.
An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C)
Although we use COVID-19 as a use case in this effort, our framework is general enough to be applied to other domains of interest in clinical NLP.
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
To this end, this study aims at adapting the existing CLAMP natural language processing tool to quickly build COVID-19 SignSym, which can extract COVID-19 signs/symptoms and their 8 attributes (body location, severity, temporal expression, subject, condition, uncertainty, negation, and course) from clinical text.
Phenotyping of Clinical Notes with Improved Document Classification Models Using Contextualized Neural Language Models
Clinical notes contain an extensive record of a patient's health status, such as smoking status or the presence of heart conditions.
Ranked #1 on
Clinical Note Phenotyping
on I2B2 2006: Smoking
Knowledge-Based Word Sense Disambiguation with Distributional Semantic Expansion
In this paper, we presented a WSD system that uses LDA topics for semantic expansion of document words.
Identifying Locus of Control in Social Media Language
Individuals express their locus of control, or {``}control{''}, in their language when they identify whether or not they are in control of their circumstances.
Assessing Objective Recommendation Quality through Political Forecasting
Recommendations are often rated for their subjective quality, but few researchers have studied comment quality in terms of objective utility.
Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System
Social media sites (e. g., Twitter) have been used for surveillance of drug safety at the population level, but studies that focus on the effects of medications on specific sets of individuals have had to rely on other sources of data.
Deriving Verb Predicates By Clustering Verbs with Arguments
Hand-built verb clusters such as the widely used Levin classes (Levin, 1993) have proved useful, but have limited coverage.
