b'Kai Yu'

research

∙ 05/25/2022

DialogZoo: Large-Scale Dialog-Oriented Task Learning

Building unified conversational agents has been a long-standing goal of ...

Zhi Chen, et al. ∙

research

∙ 05/24/2022

D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat

In a depression-diagnosis-directed clinical session, doctors initiate a ...

Binwei Yao, et al. ∙

research

∙ 05/23/2022

META-GUI: Towards Multi-modal Conversational Agents on Mobile GUI

Task-oriented dialogue (TOD) systems have been widely used by mobile pho...

Liangtai Sun, et al. ∙

research

∙ 05/13/2022

TIE: Topological Information Enhanced Structural Reading Comprehension on Web Pages

Recently, the structural reading comprehension (SRC) task on web pages h...

Zihan Zhao, et al. ∙

research

∙ 05/11/2022

A Comprehensive Survey of Automated Audio Captioning

Automated audio captioning, a task that mimics human perception as well ...

Xuenan Xu, et al. ∙

research

∙ 04/29/2022

Climate and Weather: Inspecting Depression Detection via Emotion Recognition

Automatic depression detection has attracted increasing amount of attent...

Wen Wu, et al. ∙

research

∙ 04/10/2022

UniDU: Towards A Unified Generative Dialogue Understanding Framework

With the development of pre-trained language models, remarkable success ...

Zhi Chen, et al. ∙

research

∙ 04/02/2022

VQTTS: High-Fidelity Text-to-Speech Synthesis with Self-Supervised VQ Acoustic Feature

The mainstream neural text-to-speech(TTS) pipeline is a cascade system, ...

Chenpeng Du, et al. ∙

research

∙ 03/25/2022

Audio-text Retrieval in Context

Audio-text retrieval based on natural language descriptions is a challen...

Siyu Lou, et al. ∙

research

∙ 02/15/2022

Unsupervised word-level prosody tagging for controllable speech synthesis

Although word-level prosody modeling in neural text-to-speech (TTS) has ...

Yiwei Guo, et al. ∙

research

∙ 12/09/2021

Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF

Data sparsity problem is a key challenge of Natural Language Understandi...

Su Zhu, et al. ∙

research

∙ 09/15/2021

Scalable Cell-Free Massive MIMO Systems with Finite Resolution ADCs/DACs over Spatially Correlated Rician Fading Channels

In this paper, an analytical framework for evaluating the performance of...

Xiangjun Ma, et al. ∙

research

∙ 06/04/2021

Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQL

Recently, Text-to-SQL for multi-turn dialogue has attracted great intere...

Zhi Chen, et al. ∙

research

∙ 06/02/2021

LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations

This work aims to tackle the challenging heterogeneous graph encoding pr...

Ruisheng Cao, et al. ∙

research

∙ 05/27/2021

Diverse and Controllable Speech Synthesis with GMM-Based Phone-Level Prosody Modelling

Generating natural speech with diverse and smooth prosody pattern is a c...

Chenpeng Du, et al. ∙

research

∙ 05/10/2021

Voice activity detection in the wild: A data-driven approach using teacher-student training

Voice activity detection is an essential pre-processing component for sp...

Heinrich Dinkel, et al. ∙

research

∙ 04/10/2021

ShadowGNN: Graph Projection Neural Network for Text-to-SQL Parser

Given a database schema, Text-to-SQL aims to translate a natural languag...

Zhi Chen, et al. ∙

research

∙ 02/25/2021

LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching

Chinese short text matching is a fundamental task in natural language pr...

Boer Lyu, et al. ∙

research

∙ 02/23/2021

Text-to-Audio Grounding: Building Correspondence Between Captions and Sound Events

Automated Audio Captioning is a cross-modal task, generating natural lan...

Xuenan Xu, et al. ∙

research

∙ 02/23/2021

Investigating Local and Global Information for Automated Audio Captioning with Transfer Learning

Automated audio captioning (AAC) aims at generating summarizing descript...

Xuenan Xu, et al. ∙

research

∙ 02/01/2021

Mixture Density Network for Phone-Level Prosody Modelling in Speech Synthesis

Recent researches on both utterance-level and phone-level prosody modell...

Chenpeng Du, et al. ∙

research

∙ 01/23/2021

WebSRC: A Dataset for Web-Based Structural Reading Comprehension

Web search is an essential way for human to obtain information, but it's...

Lu Chen, et al. ∙

research

∙ 01/19/2021

Towards duration robust weakly supervised sound event detection

Sound event detection (SED) is the task of tagging the absence or presen...

Heinrich Dinkel, et al. ∙

research

∙ 01/17/2021

A relic sketch extraction framework based on detail-aware hierarchical deep network

As the first step of the restoration process of painted relics, sketch e...

Jinye Peng, et al. ∙

research

∙ 10/14/2020

An Investigation on Different Underlying Quantization Schemes for Pre-trained Language Models

Recently, pre-trained language models like BERT have shown promising per...

Zihan Zhao, et al. ∙

research

∙ 09/22/2020

CREDIT: Coarse-to-Fine Sequence Generation for Dialogue State Tracking

In dialogue systems, a dialogue state tracker aims to accurately find a ...

Zhi Chen, et al. ∙

research

∙ 09/22/2020

Dual Learning for Dialogue State Tracking

In task-oriented multi-turn dialogue systems, dialogue state refers to a...

Zhi Chen, et al. ∙

research

∙ 09/22/2020

Structured Hierarchical Dialogue Policy with Graph Neural Networks

Dialogue policy training for composite tasks, such as restaurant reserva...

Zhi Chen, et al. ∙

research

∙ 09/22/2020

Distributed Structured Actor-Critic Reinforcement Learning for Universal Dialogue Management

The task-oriented spoken dialogue system (SDS) aims to assist a human us...

Zhi Chen, et al. ∙

research

∙ 09/22/2020

Deep Reinforcement Learning for On-line Dialogue State Tracking

Dialogue state tracking (DST) is a crucial module in dialogue management...

Zhi Chen, et al. ∙

research

∙ 09/21/2020

End-to-End Speaker-Dependent Voice Activity Detection

Voice activity detection (VAD) is an essential pre-processing step for t...

Yefei Chen, et al. ∙

research

∙ 09/21/2020

Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding

Few-shot slot tagging becomes appealing for rapid domain transfer and ad...

Su Zhu, et al. ∙

research

∙ 09/07/2020

Robust Spoken Language Understanding with RL-based Value Error Recovery

Spoken Language Understanding (SLU) aims to extract structured semantic ...

Chen Liu, et al. ∙

research

∙ 07/31/2020

Modular End-to-end Automatic Speech Recognition Framework for Acoustic-to-word Model

End-to-end (E2E) systems have played a more and more important role in a...

Qi Liu, et al. ∙

research

∙ 07/31/2020

Future Vector Enhanced LSTM Language Model for LVCSR

Language models (LM) play an important role in large vocabulary continuo...

Qi Liu, et al. ∙

research

∙ 07/31/2020

An Investigation on Deep Learning with Beta Stabilizer

Artificial neural networks (ANN) have been used in many applications suc...

Qi Liu, et al. ∙

research

∙ 07/26/2020

End-to-end spoofing detection with raw waveform CLDNNs

Albeit recent progress in speaker verification generates powerful models...

Heinrich Dinkel, et al. ∙

research

∙ 06/05/2020

Quantum Criticism: A Tagged News Corpus Analysed for Sentiment and Named Entities

In this research, we continuously collect data from the RSS feeds of tra...

Ashwini Badgujar, et al. ∙

research

∙ 05/27/2020

Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing

One daunting problem for semantic parsing is the scarcity of annotation....

Ruisheng Cao, et al. ∙

research

∙ 05/24/2020

Jointly Encoding Word Confusion Network and Dialogue Context with BERT for Spoken Language Understanding

Spoken Language Understanding (SLU) converts hypotheses from automatic s...

Chen Liu, et al. ∙

research

∙ 04/30/2020

Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders

Text simplification (TS) rephrases long sentences into simplified varian...

Yanbin Zhao, et al. ∙

research

∙ 04/26/2020

Dual Learning for Semi-Supervised Natural Language Understanding

Natural language understanding (NLU) converts sentences into structured ...

Su Zhu, et al. ∙

research

∙ 04/07/2020

Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking

Dialogue state tracking (DST) aims at estimating the current dialogue st...

Su Zhu, et al. ∙

research

∙ 03/27/2020

Voice activity detection in the wild via weakly supervised sound event detection

Traditional supervised voice activity detection (VAD) methods work well ...

Heinrich Dinkel, et al. ∙

research

∙ 03/27/2020

GPVAD: Towards noise robust voice activity detection via weakly supervised sound event detection

Traditional voice activity detection (VAD) methods work well in clean an...

Heinrich Dinkel, et al. ∙

research

∙ 03/22/2020

Prior Knowledge Driven Label Embedding for Slot Filling in Natural Language Understanding

Traditional slot filling in natural language understanding (NLU) predict...

Su Zhu, et al. ∙

research

∙ 10/29/2019

Depa: Self-supervised audio embedding for depression detection

Depression detection research has increased over the last few decades as...

Heinrich Dinkel, et al. ∙

research

∙ 08/28/2019

Data Augmentation with Atomic Templates for Spoken Language Understanding

Spoken Language Understanding (SLU) converts user utterances into struct...

Zijian Zhao, et al. ∙

research

∙ 07/10/2019

Semantic Parsing with Dual Learning

Semantic parsing converts natural language queries into structured logic...

Ruisheng Cao, et al. ∙

research

∙ 06/18/2019

Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition

Recently, speaker embeddings extracted from a speaker discriminative dee...

Xu Xiang, et al. ∙

Kai Yu

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