b'Nancy F. Chen'

research

∙ 06/07/2023

Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain Adaptation

A challenge in the Dialogue State Tracking (DST) field is adapting model...

0 Taha Aksu, et al. ∙

research

∙ 06/05/2023

Multiple output samples for each input in a single-output Gaussian process

The standard Gaussian Process (GP) only considers a single output sample...

0 Jeremy H. M. Wong, et al. ∙

research

∙ 05/31/2023

Guiding Computational Stance Detection with Expanded Stance Triangle Framework

Stance detection determines whether the author of a piece of text is in ...

0 Zhengyuan Liu, et al. ∙

research

∙ 05/22/2023

Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models

This study investigates machine translation between related languages i....

0 Ratish Puduppully, et al. ∙

research

∙ 05/10/2023

Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer

Adapting a large language model for multiple-attribute text style transf...

0 Zhiqiang Hu, et al. ∙

research

∙ 05/04/2023

Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation

Conversational Question Generation (CQG) is a critical task for machines...

12 Xuan Long Do, et al. ∙

research

∙ 11/14/2022

SNIPER Training: Variable Sparsity Rate Training For Text-To-Speech

Text-to-speech (TTS) models have achieved remarkable naturalness in rece...

0 Perry Lam, et al. ∙

research

∙ 10/24/2022

Are Current Task-oriented Dialogue Systems Able to Satisfy Impolite Users?

Task-oriented dialogue (TOD) systems have assisted users on many tasks, ...

0 Zhiqiang Hu, et al. ∙

research

∙ 10/17/2022

Towards Summary Candidates Fusion

Sequence-to-sequence deep neural models fine-tuned for abstractive summa...

4 Mathieu Ravaut, et al. ∙

research

∙ 09/22/2022

EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models

Neural models are known to be over-parameterized, and recent work has sh...

0 Perry Lam, et al. ∙

research

∙ 09/14/2022

CoHS-CQG: Context and History Selection for Conversational Question Generation

Conversational question generation (CQG) serves as a vital task for mach...

11 Xuan Long Do, et al. ∙

research

∙ 06/16/2022

Multimodal Dialogue State Tracking

Designed for tracking user goals in dialogues, a dialogue state tracker ...

0 Hung Le, et al. ∙

research

∙ 06/06/2022

Domain-specific Language Pre-training for Dialogue Comprehension on Clinical Inquiry-Answering Conversations

There is growing interest in the automated extraction of relevant inform...

0 Zhengyuan Liu, et al. ∙

research

∙ 05/19/2022

Learning from Bootstrapping and Stepwise Reinforcement Reward: A Semi-Supervised Framework for Text Style Transfer

Text style transfer is an important task in controllable language genera...

0 Zhengyuan Liu, et al. ∙

research

∙ 03/13/2022

SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization

Sequence-to-sequence neural networks have recently achieved great succes...

6 Mathieu Ravaut, et al. ∙

research

∙ 02/18/2022

Large-Scale Acoustic Characterization of Singaporean Children's English Pronunciation

In this work, we investigate pronunciation differences in English spoken...

2 Yuling Gu, et al. ∙

research

∙ 01/29/2022

Progressive Continual Learning for Spoken Keyword Spotting

Catastrophic forgetting is a thorny challenge when updating keyword spot...

0 Yizheng Huang, et al. ∙

research

∙ 10/09/2021

Improving Multi-Party Dialogue Discourse Parsing via Domain Integration

While multi-party conversations are often less structured than monologue...

0 Zhengyuan Liu, et al. ∙

research

∙ 10/09/2021

DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing

Text discourse parsing weighs importantly in understanding information f...

0 Zhengyuan Liu, et al. ∙

research

∙ 09/27/2021

Controllable Neural Dialogue Summarization with Personal Named Entity Planning

In this paper, we propose a controllable neural generation framework tha...

0 Zhengyuan Liu, et al. ∙

research

∙ 08/31/2021

Dynamic Sliding Window for Meeting Summarization

Recently abstractive spoken language summarization raises emerging resea...

0 Zhengyuan Liu, et al. ∙

research

∙ 07/08/2021

Multilingual Speech Evaluation: Case Studies on English, Malay and Tamil

Speech evaluation is an essential component in computer-assisted languag...

0 Huayun Zhang, et al. ∙

research

∙ 06/16/2021

C^3: Compositional Counterfactual Constrastive Learning for Video-grounded Dialogues

Video-grounded dialogue systems aim to integrate video understanding and...

0 Hung Le, et al. ∙

research

∙ 06/16/2021

Coreference-Aware Dialogue Summarization

Summarizing conversations via neural approaches has been gaining researc...

0 Zhengyuan Liu, et al. ∙

research

∙ 04/16/2021

VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks

Neural module networks (NMN) have achieved success in image-grounded tas...

0 Hung Le, et al. ∙

research

∙ 03/01/2021

Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues

Compared to traditional visual question answering, video-grounded dialog...

0 Hung Le, et al. ∙

research

∙ 02/27/2021

A Simple But Effective Approach to n-shot Task-Oriented Dialogue Augmentation

The collection and annotation of task-oriented conversational data is a ...

0 Taha Aksu, et al. ∙

research

∙ 02/23/2021

Senone-aware Adversarial Multi-task Training for Unsupervised Child to Adult Speech Adaptation

Acoustic modeling for child speech is challenging due to the high acoust...

0 Richeng Duan, et al. ∙

research

∙ 12/21/2020

An End-to-End Document-Level Neural Discourse Parser Exploiting Multi-Granularity Representations

Document-level discourse parsing, in accordance with the Rhetorical Stru...

0 Ke Shi, et al. ∙

research

∙ 12/03/2020

Multilingual Neural RST Discourse Parsing

Text discourse parsing plays an important role in understanding informat...

0 Zhengyuan Liu, et al. ∙

research

∙ 10/20/2020

BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues

Video-grounded dialogues are very challenging due to (i) the complexity ...

0 Hung Le, et al. ∙

research

∙ 08/27/2020

Adaptable Filtering using Hierarchical Embeddings for Chinese Spell Check

Spell check is a useful application which involves processing noisy huma...

0 Minh Nguyen, et al. ∙

research

∙ 04/29/2020

UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues

Building an end-to-end conversational agent for multi-domain task-orient...

0 Hung Le, et al. ∙

research

∙ 02/25/2020

Multimodal Transformer with Pointer Network for the DSTC8 AVSD Challenge

Audio-Visual Scene-Aware Dialog (AVSD) is an extension from Video Questi...

0 Hung Le, et al. ∙

research

∙ 12/20/2019

Hierarchical Character Embeddings: Learning Phonological and Semantic Representations in Languages of Logographic Origin using Recursive Neural Networks

Logographs (Chinese characters) have recursive structures (i.e. hierarch...

0 Minh Nguyen, et al. ∙

research

∙ 10/16/2019

Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding

We propose an architecture to jointly learn word and label embeddings fo...

0 Jiewen Wu, et al. ∙

research

∙ 10/03/2019

Topic-aware Pointer-Generator Networks for Summarizing Spoken Conversations

Due to the lack of publicly available resources, conversation summarizat...

0 Zhengyuan Liu, et al. ∙

research

∙ 07/02/2019

Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems

Developing Video-Grounded Dialogue Systems (VGDS), where a dialogue is c...

0 Hung Le, et al. ∙

research

∙ 03/08/2019

Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring

Data for human-human spoken dialogues for research and development are c...

0 Zhengyuan Liu, et al. ∙

research

∙ 10/07/2018

Phonology-Augmented Statistical Framework for Machine Transliteration using Limited Linguistic Resources

Transliteration converts words in a source language (e.g., English) into...

0 Gia H. Ngo, et al. ∙

research

∙ 09/12/2018

Multimodal neural pronunciation modeling for spoken languages with logographic origin

Graphemes of most languages encode pronunciation, though some are more e...

0 Minh Nguyen, et al. ∙

Nancy F. Chen

Featured Co-authors