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Found 13 papers, 1 papers with code
Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020
The vast amount of data on social media presents significant opportunities and challenges for utilizing it as a resource for health informatics.
DOING@DEFT : utilisation de lexiques pour une classification efficace de cas cliniques (In this paper, we present our participation to the DEFT 2021 task 1)
Nous présentons dans cet article notre participation à la tâche 1 de la campagne d’évaluation francophone DEFT 2021, sur l’identification du profil clinique du patient.
DOING@DEFT : cascade de CRF pour l'annotation d'entit\'es cliniques imbriqu\'ees (DOING@DEFT : cascade of CRF for the annotation of nested clinical entities)
Cet article pr{\'e}sente le syst{\`e}me d{\'e}velopp{\'e} par l{'}{\'e}quipe DOING pour la campagne d{'}{\'e}valuation DEFT 2020 portant sur la similarit{\'e} s{\'e}mantique et l{'}extraction d{'}information fine.
IRISA at SMM4H 2018: Neural Network and Bagging for Tweet Classification
This paper describes the systems developed by IRISA to participate to the four tasks of the SMM4H 2018 challenge.
Participation de l'IRISA \`a DeFT 2018 : classification et annotation d'opinion dans des tweets (IRISA at DeFT 2018: classifying and tagging opinion in tweets )
L{'}{\'e}quipe a particip{\'e} {\`a} 3 des 4 t{\^a}ches de la campagne : (i) classification des tweets selon s{'}ils concernent les transports ou non, (ii) classification des tweets selon leur polarit{\'e} et (iii) annotation des marqueurs d{'}opinion et de l{'}objet {\`a} propos duquel est exprim{\'e}e l{'}opinion.
The Scope and Focus of Negation: A Complete Annotation Framework for Italian
In this paper we present a complete framework for the annotation of negation in Italian, which accounts for both negation scope and negation focus, and also for language-specific phenomena such as negative concord.
TextPro-AL: An Active Learning Platform for Flexible and Efficient Production of Training Data for NLP Tasks
This paper presents TextPro-AL (Active Learning for Text Processing), a platform where human annotators can efficiently work to produce high quality training data for new domains and new languages exploiting Active Learning methodologies.
MEANTIME, the NewsReader Multilingual Event and Time Corpus
The {``}First CLIN Dutch Shared Task{''} at CLIN26 was based on the Dutch section, while the EVALITA 2016 FactA (Event Factuality Annotation) shared task, based on the Italian section, is currently being organized.
The Event and Implied Situation Ontology (ESO): Application and Evaluation
This paper presents the Event and Implied Situation Ontology (ESO), a manually constructed resource which formalizes the pre and post situations of events and the roles of the entities affected by an event.
