I am a post-doctoral researcher in Natural Language Processing and Machine Learning at the Information Processing and Communications Laboratory (LTCI) of Télécom Paris and at the Innovation & Research Department from SNCF. My research interests include emotion prediction and classification, emojis recommendation, machine learning from few examples (Few Shot Learning and Meta Learning), automatic French lexical evolution studies using machine learning and Old French dependency parsing and PoS tagging.
Download my resumé.
PhD in Computer Science, 2019
Msc in Computational Linguistics, 2014
Université Paris 3 Sorbonne-Nouvelle
Bsc in Natural Language Processing, 2010
Université Paris 4 Sorbonne
Annotation tool to annotate conversations with emotions, satisfaction and problem resolution status.
A collaborative annotation tool for treebank development. An easy to use graphic annotation interface makes it annotation the best part of a linguist’s day.
EMOtional EMOji RECOmmendation system. Web interface to use and evaluate the recommendation system in a textual chat.
Emoji Embeddings and Clusters of Face Emojis. This is the source code from a paper we presented to CICLing 2018, please cite this paper if you find this work useful.
Scrapper AirBnb to scrap reviews and create a dataset. Used to create the Hackathon (HackaTAL 2017) dataset.
Treebank Browser is a graphical tool which allows to browse treebanks graphically. It was initially made for the RHAPSODIE projet purposes. It also creates a static web site.
A graphical interface that allows you to manage members of a team, see charts about their distribution per supervisors, entry date, etc. It allows you to obtain a trombinoscope of the members, and to filter your data. Used in LSIS laboratory.
SOFA allows you to predict the lemmas, Part-of-Speech tags and dependency parsing for Old French in the live web tool and display scores and results.
Interactive visualization tool to browse a treebank. This GUI tool regroup three ways to graphically view and edit syntactic tagged texts: launch, inspect, edit