Timezone: »
There has been growing interest in using neural networks and deep learning techniques to create dialogue systems. Conversational recommendation is an interesting setting for the scientific exploration of dialogue with natural language as the associated discourse involves goal-driven dialogue that often transforms naturally into more free-form chat. This paper provides two contributions. First, until now there has been no publicly available large-scale data set consisting of real-world dialogues centered around recommendations. To address this issue and to facilitate our exploration here, we have collected ReDial, a data set consisting of over 10,000 conversations centered around the theme of providing movie recommendations. We make this data available to the community for further research. Second, we use this dataset to explore multiple facets of conversational recommendations. In particular we explore new neural architectures, mechanisms and methods suitable for composing conversational recommendation systems. Our dataset allows us to systematically probe model sub-components addressing different parts of the overall problem domain ranging from: sentiment analysis and cold-start recommendation generation to detailed aspects of how natural language is used in this setting in the real world. We combine such sub-components into a full-blown dialogue system and examine its behavior.
Author Information
Raymond Li (Polytechnique Montréal)
Samira Ebrahimi Kahou (Microsoft)
Hannes Schulz (Microsoft Research, Montreal)
Vincent Michalski (Université de Montréal)
Laurent Charlin (MILA / U.Montreal)
Chris Pal (MILA, Polytechnique Montréal, Element AI)
More from the Same Authors
-
2020 Poster: Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning »
Julien Roy · Paul Barde · Félix Harvey · Derek Nowrouzezahrai · Chris Pal -
2020 Poster: Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization »
Paul Barde · Julien Roy · Wonseok Jeon · Joelle Pineau · Chris Pal · Derek Nowrouzezahrai -
2020 Spotlight: Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization »
Paul Barde · Julien Roy · Wonseok Jeon · Joelle Pineau · Chris Pal · Derek Nowrouzezahrai -
2020 Poster: Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning »
Massimo Caccia · Pau Rodriguez · Oleksiy Ostapenko · Fabrice Normandin · Min Lin · Lucas Page-Caccia · Issam Hadj Laradji · Irina Rish · Alexandre Lacoste · David Vázquez · Laurent Charlin -
2020 Poster: Synbols: Probing Learning Algorithms with Synthetic Datasets »
Alexandre Lacoste · Pau Rodríguez López · Frederic Branchaud-Charron · Parmida Atighehchian · Massimo Caccia · Issam Hadj Laradji · Alexandre Drouin · Matthew Craddock · Laurent Charlin · David Vázquez -
2020 Session: Orals & Spotlights Track 16: Continual/Meta/Misc Learning »
Laurent Charlin · Cedric Archambeau -
2019 Poster: Online Continual Learning with Maximal Interfered Retrieval »
Rahaf Aljundi · Eugene Belilovsky · Tinne Tuytelaars · Laurent Charlin · Massimo Caccia · Min Lin · Lucas Page-Caccia -
2019 Poster: Neural Multisensory Scene Inference »
Jae Hyun Lim · Pedro O. Pinheiro · Negar Rostamzadeh · Chris Pal · Sungjin Ahn -
2019 Poster: On Adversarial Mixup Resynthesis »
Christopher Beckham · Sina Honari · Alex Lamb · Vikas Verma · Farnoosh Ghadiri · R Devon Hjelm · Yoshua Bengio · Chris Pal -
2019 Poster: Exact Combinatorial Optimization with Graph Convolutional Neural Networks »
Maxime Gasse · Didier Chetelat · Nicola Ferroni · Laurent Charlin · Andrea Lodi -
2018 Poster: Unsupervised Depth Estimation, 3D Face Rotation and Replacement »
Joel Ruben Antony Moniz · Christopher Beckham · Simon Rajotte · Sina Honari · Chris Pal -
2018 Poster: Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding »
Nan Rosemary Ke · Anirudh Goyal ALIAS PARTH GOYAL · Olexa Bilaniuk · Jonathan Binas · Michael Mozer · Chris Pal · Yoshua Bengio -
2018 Spotlight: Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding »
Nan Rosemary Ke · Anirudh Goyal ALIAS PARTH GOYAL · Olexa Bilaniuk · Jonathan Binas · Michael Mozer · Chris Pal · Yoshua Bengio -
2018 Poster: Towards Text Generation with Adversarially Learned Neural Outlines »
Sandeep Subramanian · Sai Rajeswar Mudumba · Alessandro Sordoni · Adam Trischler · Aaron Courville · Chris Pal -
2017 Poster: ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events »
Evan Racah · Christopher Beckham · Tegan Maharaj · Samira Ebrahimi Kahou · Mr. Prabhat · Chris Pal -
2017 Demonstration: A Deep Reinforcement Learning Chatbot »
Iulian Vlad Serban · Chinnadhurai Sankar · Mathieu Germain · Saizheng Zhang · Zhouhan Lin · Sandeep Subramanian · Taesup Kim · Michael Pieper · Sarath Chandar Anbil Parthipan · Nan Rosemary Ke · Sai Rajeswar Mudumba · Alexandre de Brébisson · Jose Sotelo · Dendi A Suhubdy · Vincent Michalski · Joelle Pineau · Yoshua Bengio -
2014 Poster: Modeling Deep Temporal Dependencies with Recurrent "Grammar Cells" »
Vincent Michalski · Roland Memisevic · Kishore Konda -
2014 Poster: Content-based recommendations with Poisson factorization »
Prem Gopalan · Laurent Charlin · David Blei -
2006 Poster: Automated Hierarchy Discovery for Planning in Partially Observable Domains »
Laurent Charlin · Pascal Poupart · Romy Shioda