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06/07/2023
Data Augmentation for Improving Tail-traffic Robustness in Skill-routing for Dialogue Systems
Large-scale conversational systems typically rely on a skill-routing com...
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03/09/2023
Open World Classification with Adaptive Negative Samples
Open world classification is a task in natural language processing with ...
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10/22/2022
PENTATRON: PErsonalized coNText-Aware Transformer for Retrieval-based cOnversational uNderstanding
Conversational understanding is an integral part of modern intelligent d...
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09/17/2022
Constrained Policy Optimization for Controlled Self-Learning in Conversational AI Systems
Recently, self-learning methods based on user satisfaction metrics and c...
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08/18/2022
Debiasing Neighbor Aggregation for Graph Neural Network in Recommender Systems
Graph neural networks (GNNs) have achieved remarkable success in recomme...
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07/28/2022
Learning Personalized Representations using Graph Convolutional Network
Generating representations that precisely reflect customers' behavior is...
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04/14/2022
Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems
Skill routing is an important component in large-scale conversational sy...
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04/05/2022
Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data
In many real-world machine learning applications, samples belong to a se...
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09/25/2021
Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding
A large-scale conversational agent can suffer from understanding user ut...
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06/10/2021
AUGNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation
Natural Language Generation (NLG) is a key component in a task-oriented ...
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06/04/2021
Learning Slice-Aware Representations with Mixture of Attentions
Real-world machine learning systems are achieving remarkable performance...
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04/26/2021
Handling Long-Tail Queries with Slice-Aware Conversational Systems
We have been witnessing the usefulness of conversational AI systems such...
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03/04/2021
Neural model robustness for skill routing in large-scale conversational AI systems: A design choice exploration
Current state-of-the-art large-scale conversational AI or intelligent di...
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03/01/2021
A Data-driven Approach to Estimate User Satisfaction in Multi-turn Dialogues
The evaluation of multi-turn dialogues remains challenging. The common a...
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10/23/2020
A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems
Natural Language Understanding (NLU) is an established component within ...
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10/21/2020
Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents
Turn-level user satisfaction is one of the most important performance me...
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05/29/2020
Large-scale Hybrid Approach for Predicting User Satisfaction with Conversational Agents
Measuring user satisfaction level is a challenging task, and a critical ...
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04/07/2020
Guided Dialog Policy Learning without Adversarial Learning in the Loop
Reinforcement-based training methods have emerged as the most popular ch...
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11/14/2019
The Eighth Dialog System Technology Challenge
This paper introduces the Eighth Dialog System Technology Challenge. In ...
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10/25/2019
Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models
Ambiguous user queries in search engines result in the retrieval of docu...
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10/03/2019
Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks
Goal-oriented dialogue systems are now being widely adopted in industry ...
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09/03/2019
Structuring Latent Spaces for Stylized Response Generation
Generating responses in a targeted style is a useful yet challenging tas...
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08/16/2019
Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach
Learning with minimal data is one of the key challenges in the developme...
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05/24/2019
Contextual Out-of-Domain Utterance Handling With Counterfeit Data Augmentation
Neural dialog models often lack robustness to anomalous user input and p...
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04/18/2019
ConvLab: Multi-Domain End-to-End Dialog System Platform
We present ConvLab, an open-source multi-domain end-to-end dialog system...
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03/13/2019
Consistent Dialogue Generation with Self-supervised Feature Learning
Generating responses that are consistent with the dialogue context is on...
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02/28/2019
Jointly Optimizing Diversity and Relevance in Neural Response Generation
Although recent neural conversation models have shown great potential, t...
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11/29/2018
Improving Robustness of Neural Dialog Systems in a Data-Efficient Way with Turn Dropout
Neural network-based dialog models often lack robustness to anomalous, o...
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11/15/2018
Nudging Neural Conversational Model with Domain Knowledge
Neural conversation models are attractive because one can train a model ...
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08/29/2018
Zero-Shot Adaptive Transfer for Conversational Language Understanding
Conversational agents such as Alexa and Google Assistant constantly need...
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01/16/2018
OneNet: Joint Domain, Intent, Slot Prediction for Spoken Language Understanding
In practice, most spoken language understanding systems process user inp...
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12/28/2017
Toward Continual Learning for Conversational Agents
While end-to-end neural conversation models have led to promising advanc...
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11/29/2017
Speaker-Sensitive Dual Memory Networks for Multi-Turn Slot Tagging
In multi-turn dialogs, natural language understanding models can introdu...
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04/10/2017
