Inscription manuelle de participants

Program
•Introduction to Natural Language Processing - Chloe Clavel
•Language Models - Matthieu Labeau
•Tutorial on Generation
•Tutorial on Sentiment analysis

3 projects in small groups

Evaluation
Project Report and defence

MATERIALS to go further
■NLP in general
https://nlp.stanford.edu/IR-book
•From Miha Grcar “Text mining and Text stream mining tutorial
•Foundations of Statistical Natural Language Processing Christopher D. Manning and Hinrich Schütze
•Lecture from Stanford http://cs224d.stanford.edu/lecture_notes/notes1.pdf

■ NLP and deep learning
•Deep Natural Language Processing course offered in Hilary Term 2017 at the University of Oxford.
•Goodfellow, Ian, Yoshua Bengio, and Aaron Courville. Deep learning. MIT press, 2016.
•Mikolov, Tomas, et al. "Distributed representations of words and phrases and their compositionality." Advances in neural information processing systems. 2013.

■Tools :
•word2vec from Google https://code.google.com/p/word2vec/ tutorial from
•tensorflow https://www.tensorflow.org/tutorials/word2vec
•Other representations: Glove http://nlp.stanford.edu/projects/glove/
■Sentiment definitions
•[MUN 14] MUNEZERO M. D., SUERO MONTERO C., SUTINEN E., PAJUNEN J., “Are They Different? Affect, Feeling, Emotion, Sentiment, and Opinion Detection in Text”, IEEE Transactions on Affective Computing, 2014.

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