b'Zhaojiang Lin'

research

∙ 05/23/2023

Continual Dialogue State Tracking via Example-Guided Question Answering

Dialogue systems are frequently updated to accommodate new services, but...

6 Hyundong Cho, et al. ∙

research

∙ 11/15/2022

Introducing Semantics into Speech Encoders

Recent studies find existing self-supervised speech encoders contain pri...

10 Derek Xu, et al. ∙

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...

1 Seungwhan Moon, et al. ∙

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...

2 Yejin Bang, et al. ∙

research

∙ 12/10/2021

FaceFormer: Speech-Driven 3D Facial Animation with Transformers

Speech-driven 3D facial animation is challenging due to the complex geom...

1 Yingruo Fan, et al. ∙

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 ...

3 Yingruo Fan, et al. ∙

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...

5 Andrea Madotto, et al. ∙

research

∙ 09/16/2021

Language Models are Few-shot Multilingual Learners

General-purpose language models have demonstrated impressive capabilitie...

6 Genta Indra Winata, et al. ∙

research

∙ 09/10/2021

Zero-Shot Dialogue State Tracking via Cross-Task Transfer

Zero-shot transfer learning for dialogue state tracking (DST) enables us...

0 Zhaojiang Lin, et al. ∙

research

∙ 06/07/2021

CAiRE in DialDoc21: Data Augmentation for Information-Seeking Dialogue System

Information-seeking dialogue systems, including knowledge identification...

7 Etsuko Ishii, et al. ∙

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...

4 Zhaojiang Lin, et al. ∙

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...

4 Zhaojiang Lin, et al. ∙

research

∙ 03/24/2021

Are Multilingual Models Effective in Code-Switching?

Multilingual language models have shown decent performance in multilingu...

3 Genta Indra Winata, et al. ∙

research

∙ 12/31/2020

Continual Learning in Task-Oriented Dialogue Systems

Continual learning in task-oriented dialogue systems can allow us to add...

6 Andrea Madotto, et al. ∙

research

∙ 10/09/2020

Plug-and-Play Conversational Models

There has been considerable progress made towards conversational models ...

6 Andrea Madotto, et al. ∙

research

∙ 09/30/2020

Cross-lingual Spoken Language Understanding with Regularized Representation Alignment

Despite the promising results of current cross-lingual models for spoken...

0 Zihan Liu, et al. ∙

research

∙ 09/28/2020

Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems

Task-oriented dialogue systems are either modularized with separate dial...

4 Andrea Madotto, et al. ∙

research

∙ 09/25/2020

MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems

In this paper, we propose Minimalist Transfer Learning (MinTL) to simpli...

10 Zhaojiang Lin, et al. ∙

research

∙ 08/28/2020

The Adapter-Bot: All-In-One Controllable Conversational Model

Considerable progress has been made towards conversational models that g...

5 Andrea Madotto, et al. ∙

research

∙ 08/21/2020

EmoGraph: Capturing Emotion Correlations using Graph Networks

Most emotion recognition methods tackle the emotion understanding task b...

0 Peng Xu, et al. ∙

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...

0 Andrea Madotto, et al. ∙

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...

0 Genta Indra Winata, et al. ∙

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...

0 Zhaojiang Lin, et al. ∙

research

∙ 03/28/2020

Variational Transformers for Diverse Response Generation

Despite the great promise of Transformers in many sequence modeling task...

0 Zhaojiang Lin, et al. ∙

research

∙ 03/17/2020

XPersona: Evaluating Multilingual Personalized Chatbot

Personalized dialogue systems are an essential step toward better human-...

0 Zhaojiang Lin, et al. ∙

research

∙ 03/04/2020

Learning Fast Adaptation on Cross-Accented Speech Recognition

Local dialects influence people to pronounce words of the same language ...

0 Genta Indra Winata, et al. ∙

research

∙ 01/07/2020

Attention over Parameters for Dialogue Systems

Dialogue systems require a great deal of different but complementary exp...

0 Andrea Madotto, et al. ∙

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...

0 Zihan Liu, et al. ∙

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...

0 Genta Indra Winata, et al. ∙

research

∙ 09/18/2019

Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition

In countries that speak multiple main languages, mixing up different lan...

0 Genta Indra Winata, et al. ∙

research

∙ 08/21/2019

MoEL: Mixture of Empathetic Listeners

Previous research on empathetic dialogue systems has mostly focused on g...

0 Zhaojiang Lin, et al. ∙

research

∙ 08/13/2019

Getting To Know You: User Attribute Extraction from Dialogues

User attributes provide rich and useful information for user understandi...

4 Chien-Sheng Wu, et al. ∙

research

∙ 07/28/2019

CAiRE: An End-to-End Empathetic Chatbot

In this paper, we present an end-to-end empathetic conversation agent CA...

0 Zhaojiang Lin, et al. ∙

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...

0 Genta Indra Winata, et al. ∙

research

∙ 05/24/2019

Personalizing Dialogue Agents via Meta-Learning

Existing personalized dialogue models use human designed persona descrip...

6 Zhaojiang Lin, et al. ∙

research

∙ 10/29/2018

Learning Comment Generation by Leveraging User-Generated Data

Existing models on open-domain comment generation produce repetitive and...

0 Zhaojiang Lin, et al. ∙

Zhaojiang Lin

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