BEGIN:VCALENDAR VERSION:2.0 PRODID:-//DTU.dk//NONSGML DTU.dk//EN CALSCALE:GREGORIAN BEGIN:VEVENT DTSTART:20170921T110000 DTEND:20170921T120000 SUMMARY:Seminar by Iulian Serban: A Deep Reinforcement Learning Chatbot DESCRIPTION:

On Thursday, September 21, at 11-12, 2017, you are invited to join the seminar entitled: A Deep Reinforcement Learning Chatbot. Speaker: Iulian Serban, MILA. Place: Building 324 room 040\n

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Abstract: We present MILABOT: a deep reinforcement learning chatbot developed by the Montreal Institute for Learning Algorithms (MILA) for the Amazon Alexa Prize competition. MILABOT is capable of conversing with humans on popular small talk topics through both speech and text. The system consists of an ensemble of natural language generation and retrieval models, including sequence-to-sequence and latent variable neural network models. By applying reinforcement learning to crowd-sourced data and real-world user interactions, the system has been trained to select an appropriate response from the models in its ensemble. The system has been evaluated through A/B testing with real-world users, where it was found to perform excellent.\n

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Iulian Serban is a PhD candidate at MILA, where he investigates deep learning and reinforcement learning methods for dialogue and other natural language processing applications. Iulian is supervised by Yoshua Bengio, Aaron Courville and Joelle Pineau. He holds an MSc in machine learning from University College London, and a BSc in theoretical mathematics and statistics from Copenhagen University. Previously, Iulian worked at DigiCorpus ApS, where he developed a physiotherapy computer vision system, now deployed in clinics across Denmark.

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On Thursday, September 21, at 11-12, 2017, you are invited to join the seminar entitled: A Deep Reinforcement Learning Chatbot. Speaker: Iulian Serban, MILA. Place: Building 324 room 040\n

\n

Abstract: We present MILABOT: a deep reinforcement learning chatbot developed by the Montreal Institute for Learning Algorithms (MILA) for the Amazon Alexa Prize competition. MILABOT is capable of conversing with humans on popular small talk topics through both speech and text. The system consists of an ensemble of natural language generation and retrieval models, including sequence-to-sequence and latent variable neural network models. By applying reinforcement learning to crowd-sourced data and real-world user interactions, the system has been trained to select an appropriate response from the models in its ensemble. The system has been evaluated through A/B testing with real-world users, where it was found to perform excellent.\n

\n

Iulian Serban is a PhD candidate at MILA, where he investigates deep learning and reinforcement learning methods for dialogue and other natural language processing applications. Iulian is supervised by Yoshua Bengio, Aaron Courville and Joelle Pineau. He holds an MSc in machine learning from University College London, and a BSc in theoretical mathematics and statistics from Copenhagen University. Previously, Iulian worked at DigiCorpus ApS, where he developed a physiotherapy computer vision system, now deployed in clinics across Denmark.

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URL:https://www.dtu.dk/da/sitecore/Indhold/Institutter/Compute/DTU-Compute-OLD/Forside/Kalender/2017/09/Seminar-by-Iulian-Serban DTSTAMP:20260813T181200Z UID:{AC6CFA79-A930-4B07-BDEF-AE827F4EE096}-20170921T110000-20170921T110000 LOCATION: DTU, Building 324 room 040 END:VEVENT END:VCALENDAR