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Found 8 papers, 1 papers with code
Time Expressions in Mental Health Records for Symptom Onset Extraction
Natural Language Processing (NLP) methods can be used to extract this data, in order to identify symptoms and treatments from mental health records, and temporally anchor the first emergence of these.
Emotion Analysis on Twitter: The Hidden Challenge
Our evaluation shows that a machine learning classifier performs best on emotion detection, while a symbolic approach is better for identifying relevant (i. e. emotional) tweets.
Un syst\`eme expert fond\'e sur une analyse s\'emantique pour l'identification de menaces d'ordre biologique
Le projet europ{\'e}en TIER (Integrated strategy for CBRN {--} Chemical, Biological, Radiological and Nuclear {--} Threat Identification and Emergency Response) vise {\`a} int{\'e}grer une strat{\'e}gie compl{\`e}te et int{\'e}gr{\'e}e pour la r{\'e}ponse d{'}urgence dans un contexte de dangers biologiques, chimiques, radiologiques, nucl{\'e}aires, ou li{\'e}s aux explosifs, bas{\'e}e sur l{'}identification des menaces et d{'}{\'e}valuation des risques.
The Dangerous Myth of the Star System
In recent years we have observed two parallel trends in computational linguistics research and e-commerce development.
Temporal Annotation: A Proposal for Guidelines and an Experiment with Inter-annotator Agreement
We provide results of an initial application of these guidelines to real news-wire texts in French over several iterations of the annotation process.
