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This course presents different NLP methods that are inspired by the study of natural language and of the underlying cognitive processes. The techniques and concepts that will be studied have however a broader scope in artificial intelligence and are used to study reasoning, decision making and symbolic machine learning. They include:
- Syntactic processing using context-free grammars. Basic parsing methods.
- Knowledge representation – Meaning representation – Procedural semantics – Aspect.
- Relevance: interest, newsworthiness, argumentative relevance and processing.
- Enseignant: Chloé Clavel
- Enseignant: Jean-Louis Dessalles
- Enseignant: Fabian Suchanek
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