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08/29/2023
KGConv, a Conversational Corpus grounded in Wikidata
We present KGConv, a large, conversational corpus of 71k conversations w...
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04/28/2023
Interpreting Vision and Language Generative Models with Semantic Visual Priors
When applied to Image-to-text models, interpretability methods often pro...
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02/22/2023
Few-Shot Structured Policy Learning for Multi-Domain and Multi-Task Dialogues
Reinforcement learning has been widely adopted to model dialogue manager...
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02/12/2023
Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters
Text generation from Abstract Meaning Representation (AMR) has substanti...
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10/11/2022
Graph Neural Network Policies and Imitation Learning for Multi-Domain Task-Oriented Dialogues
Task-oriented dialogue systems are designed to achieve specific goals wh...
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07/29/2022
"Do you follow me?": A Survey of Recent Approaches in Dialogue State Tracking
While communicating with a user, a task-oriented dialogue system has to ...
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07/07/2022
CoQAR: Question Rewriting on CoQA
Questions asked by humans during a conversation often contain contextual...
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01/13/2021
Is the User Enjoying the Conversation? A Case Study on the Impact on the Reward Function
The impact of user satisfaction in policy learning task-oriented dialogu...
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11/25/2020
Diluted Near-Optimal Expert Demonstrations for Guiding Dialogue Stochastic Policy Optimisation
A learning dialogue agent can infer its behaviour from interactions with...
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09/26/2019
Spoken Conversational Search for General Knowledge
We present a spoken conversational question answering proof of concept t...
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06/14/2018
Nearly Zero-Shot Learning for Semantic Decoding in Spoken Dialogue Systems
This paper presents two ways of dealing with scarce data in semantic dec...
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10/13/2016
Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding
This paper presents a deep learning architecture for the semantic decode...
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09/09/2016
Dialogue manager domain adaptation using Gaussian process reinforcement learning
Spoken dialogue systems allow humans to interact with machines using nat...
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06/10/2016
Conditional Generation and Snapshot Learning in Neural Dialogue Systems
Recently a variety of LSTM-based conditional language models (LM) have b...
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04/15/2016
A Network-based End-to-End Trainable Task-oriented Dialogue System
Teaching machines to accomplish tasks by conversing naturally with human...
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03/03/2016