research
∙
05/23/2023
Continual Dialogue State Tracking via Example-Guided Question Answering
Dialogue systems are frequently updated to accommodate new services, but...
share
research
∙
11/15/2022
Introducing Semantics into Speech Encoders
Recent studies find existing self-supervised speech encoders contain pri...
research
∙
10/26/2022
IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and Text
We present IMU2CLIP, a novel pre-training approach to align Inertial Mea...
research
∙
10/14/2022
Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values
Many NLP classification tasks, such as sexism/racism detection or toxici...
research
∙
12/10/2021
FaceFormer: Speech-Driven 3D Facial Animation with Transformers
Speech-driven 3D facial animation is challenging due to the complex geom...
research
∙
12/04/2021
Joint Audio-Text Model for Expressive Speech-Driven 3D Facial Animation
Speech-driven 3D facial animation with accurate lip synchronization has ...
research
∙
10/15/2021
Few-Shot Bot: Prompt-Based Learning for Dialogue Systems
Learning to converse using only a few examples is a great challenge in c...
research
∙
09/16/2021
Language Models are Few-shot Multilingual Learners
General-purpose language models have demonstrated impressive capabilitie...
research
∙
09/10/2021
Zero-Shot Dialogue State Tracking via Cross-Task Transfer
Zero-shot transfer learning for dialogue state tracking (DST) enables us...
research
∙
06/07/2021
CAiRE in DialDoc21: Data Augmentation for Information-Seeking Dialogue System
Information-seeking dialogue systems, including knowledge identification...
research
∙
06/05/2021
BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modeling
Task-oriented dialogue (ToD) benchmarks provide an important avenue to m...
research
∙
05/10/2021
Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking
Zero-shot cross-domain dialogue state tracking (DST) enables us to handl...
research
∙
03/24/2021
Are Multilingual Models Effective in Code-Switching?
Multilingual language models have shown decent performance in multilingu...
research
∙
12/31/2020
Continual Learning in Task-Oriented Dialogue Systems
Continual learning in task-oriented dialogue systems can allow us to add...
research
∙
10/09/2020
Plug-and-Play Conversational Models
There has been considerable progress made towards conversational models ...
research
∙
09/30/2020
Cross-lingual Spoken Language Understanding with Regularized Representation Alignment
Despite the promising results of current cross-lingual models for spoken...
research
∙
09/28/2020
Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems
Task-oriented dialogue systems are either modularized with separate dial...
research
∙
09/25/2020
MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems
In this paper, we propose Minimalist Transfer Learning (MinTL) to simpli...
research
∙
08/28/2020
The Adapter-Bot: All-In-One Controllable Conversational Model
Considerable progress has been made towards conversational models that g...
research
∙
08/21/2020
EmoGraph: Capturing Emotion Correlations using Graph Networks
Most emotion recognition methods tackle the emotion understanding task b...
research
∙
08/14/2020
Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems
Task-oriented dialogue systems use four connected modules, namely, Natur...
research
∙
04/29/2020
Meta-Transfer Learning for Code-Switched Speech Recognition
An increasing number of people in the world today speak a mixed-language...
research
∙
04/08/2020
Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning
Fine-tuning pre-trained generative language models to down-stream langua...
research
∙
03/28/2020
Variational Transformers for Diverse Response Generation
Despite the great promise of Transformers in many sequence modeling task...
research
∙
03/17/2020
XPersona: Evaluating Multilingual Personalized Chatbot
Personalized dialogue systems are an essential step toward better human-...
research
∙
03/04/2020
Learning Fast Adaptation on Cross-Accented Speech Recognition
Local dialects influence people to pronounce words of the same language ...
research
∙
01/07/2020
Attention over Parameters for Dialogue Systems
Dialogue systems require a great deal of different but complementary exp...
research
∙
11/21/2019
Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems
Recently, data-driven task-oriented dialogue systems have achieved promi...
research
∙
10/30/2019
Lightweight and Efficient End-to-End Speech Recognition Using Low-Rank Transformer
High performing deep neural networks come at the cost of computational c...
research
∙
09/18/2019
Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition
In countries that speak multiple main languages, mixing up different lan...
research
∙
08/21/2019
MoEL: Mixture of Empathetic Listeners
Previous research on empathetic dialogue systems has mostly focused on g...
research
∙
08/13/2019
Getting To Know You: User Attribute Extraction from Dialogues
User attributes provide rich and useful information for user understandi...
research
∙
07/28/2019
CAiRE: An End-to-End Empathetic Chatbot
In this paper, we present an end-to-end empathetic conversation agent CA...
research
∙
06/10/2019
CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification
Detecting emotion from dialogue is a challenge that has not yet been ext...
research
∙
05/24/2019
Personalizing Dialogue Agents via Meta-Learning
Existing personalized dialogue models use human designed persona descrip...
research
∙
10/29/2018
