Séminaire DATAIA | «How machines learn to talk. Challenges and opportunities of neural approaches for Conversational AI» - Verena Rieser
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Verena Rieser (Heriot-Watt University), et membre du comité scientifique de l'Institut DATAIA, est l’animatrice du séminaire DATAIA du 6 mars, sur le thème « How machines learn to talk. Challenges and opportunities of neural approaches for Conversational AI ».
Le séminaire sera fait à distance.
Amazon Alexa, Apple's Siri or Google's assistant are able to converse with humans using language. The underlying technology - often referred to as spoken dialogue systems - have experienced a revolution over the past decade, moving from being completely handcrafted to using data-driven machine learning methods.
In this talk, I will review current developments including my work on using reinforcement learning and deep learning models, and evaluate these methods in the light of results from real-world applications. In particular, I will report our experience from experimenting with these models for generating responses in open-domain social dialogue as part of the Amazon Alexa Prize challenge, as well as for task-based system as part of the E2E NLG challenge - a shared task organised by my team.
Le séminaire sera suivi par un pot.
Inscriptions gratuites mais obligatoires dans la limite des places disponibles.
Pour des raisons de sécurité, toute personne non-inscrite ne pourra accéder au lieu du séminaire.