no code implementations • JEPTALNRECITAL 2017 • Louise Tarrade, C{\'e}dric Lopez, Rachel Panckhurst, Geroges Antoniadis
La t{\^a}che de normalisation automatique des messages issus de la communication {\'e}lectronique m{\'e}di{\'e}e requiert une {\'e}tape pr{\'e}alable consistant {\`a} identifier les ph{\'e}nom{\`e}nes linguistiques.
no code implementations • WS 2016 • Ioannis Partalas, C{\'e}dric Lopez, Nadia Derbas, Ruslan Kalitvianski
We presented in this work our participation in the 2nd Named Entity Recognition for Twitter shared task.
no code implementations • JEPTALNRECITAL 2016 • Ioannis Partalas, C{\'e}dric Lopez, Fr{\'e}d{\'e}rique Segond
Comparing Named-Entity Recognizers in a Targeted Domain : Handcrafted Rules vs. Machine Learning Named-Entity Recognition concerns the classification of textual objects in a predefined set of categories such as persons, organizations, and localizations.
no code implementations • LREC 2016 • C{\'e}dric Lopez, Fr{\'e}d{\'e}rique Segond, Christiane Fellbaum
We propose an automatic approach towards determining the relative location of adjectives on a common scale based on their strength.
no code implementations • JEPTALNRECITAL 2015 • C{\'e}dric Lopez, Aleks Ponomareva, ra, C{\'e}cile Robin, Andr{\'e} Bittar, Xabier Larrucea, Fr{\'e}d{\'e}rique Segond, Marie-H{\'e}l{\`e}ne Metzger
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.
no code implementations • LREC 2014 • C{\'e}dric Lopez, Fr{\'e}d{\'e}rique Segond, Olivier Hondermarck, Paolo Curtoni, Luca Dini
Named Entity Recognition task needs high-quality and large-scale resources.
no code implementations • LREC 2014 • C{\'e}dric Lopez, Best, Reda ji, Mathieu Roche, Rachel Panckhurst
In this paper, we propose a method for aligning text messages (entitled AlignSMS) in order to automatically build an SMS dictionary.