Week 1 (1-5 July) : Document Analysis
- Presentation of on going works in L3i Lab – 1h
- Introduction to document image analysis – 7,5h
- Petra Krämer Gomez, University of La Rochelle
- Document indexation – 7,5h
- Nicolas Sidere, University of La Rochelle
- Face Detection and Recognition – 6h
- Zuheng Ming & Nhu Van Nguyen, University of La Rochelle
- Graph-based methods for document analysis and recognition – 3h
- Muhammad Muzzamil Luqman, University of La Rochelle
Week 2 (8-12 July) : Document Understanding: Natural Language Processing and Information Retrieval
- Dr. Gaël Lejeune (University of Paris Sorbonne): Introduction to Natural Language Processing – 8 hours
- Prof. Antoine Doucet (University of La Rochelle): Robust Resource-Free language analysis – 6 hours
- Prof. Jean-Loup Guillaume (University of La Rochelle): Social Networks Analysis – 6 hours
- Dr. Karell Bertet (University of La Rochelle): Data Mining for Information Retrieval – 6 hours
- French culture and French as a foreign language – 4 hours
Week 3 (15-19 July)
- Data Science (Linear algebra, optimization, applications, kernels, classification, kernel PCA/CCA, dependency measures/distances, hypothesis testing, acceleration schemes.)
- GATE (Text Engineering Platform)
- French language and culture classes
Week 4 (22-26 July)
- Natural Language Processing (NLP) (Foundations of NLP: corpora, tokenization, stemming, term vector representations, POS tagging, parsing, language models, stopwords, text classification and clustering, dialogue systems. Deep learning in NLP: recurrent neural networks, LSTM, word vector representations, end-to-end dialogue systems.)
- French language and culture classes
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