Papers by Gabriel Luthier

2 papers
Chat or Learn: a Data-Driven Robust Question-Answering System (2020.lrec-1)

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Challenge: QA systems tend to perform poorly at chitchat, while data-driven chatbots are typically user-friendly but not goal-oriented .
Approach: They propose to use a controller to perform dialogue act classification and feed user input either to a sequence-to-sequence chatbot or to QA systems.
Outcome: The proposed system is a spoken QA application for the Google Home smart speaker.
Constrained Language Models for Interactive Poem Generation (2022.lrec-1)

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Challenge: Neural language models cannot learn constraints from data, which is scarce for a well-resourced language such as French.
Approach: They propose a system that combines neural language models with constraints that can be set by users on form, topic, emotion, and rhyming scheme.
Outcome: The proposed system generates poems and stanzas using LMs and rule-based algorithms . it has been demonstrated at public events and log analysis shows that users found it engaging .

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