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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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03/08/2020
Pseudo Labeling and Negative Feedback Learning for Large-scale Multi-label Domain Classification
In large-scale domain classification, an utterance can be handled by mul...
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05/02/2019
Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding
In this paper, we introduce an approach for leveraging available data ac...
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05/02/2019
Continuous Learning for Large-scale Personalized Domain Classification
Domain classification is the task of mapping spoken language utterances ...
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12/18/2018
Supervised Domain Enablement Attention for Personalized Domain Classification
In large-scale domain classification for natural language understanding,...
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12/13/2018
Coupled Representation Learning for Domains, Intents and Slots in Spoken Language Understanding
Representation learning is an essential problem in a wide range of appli...
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06/29/2018
Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates
In domain classification for spoken dialog systems, correct detection of...
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06/28/2018
Rich Character-Level Information for Korean Morphological Analysis and Part-of-Speech Tagging
Due to the fact that Korean is a highly agglutinative, character-rich la...
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06/24/2018
Character-Level Feature Extraction with Densely Connected Networks
Generating character-level features is an important step for achieving g...
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04/22/2018
Efficient Large-Scale Domain Classification with Personalized Attention
In this paper, we explore the task of mapping spoken language utterances...
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04/22/2018
A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding
Intelligent personal digital assistants (IPDAs), a popular real-life app...
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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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11/29/2017
