35 citations · 70 across the 7 of their papers we have counts for
7 papers
CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite
Yifei Yuan, Chen Shi, Runze Wang +5
Generative query rewrite generates reconstructed query rewrites using the conversation history while rely heavily on gold rewrite pairs that are expensive to obtain. Recently, few-…
Improving Audio-Visual Speech Recognition by Lip-Subword Correlation Based Visual Pre-training and Cross-Modal Fusion Encoder
Yusheng Dai, Hang Chen, Jun Du +4
In recent research, slight performance improvement is observed from automatic speech recognition systems to audio-visual speech recognition systems in the end-to-end framework with…
Network Pruning Spaces
Xuanyu He, Yu-I Yang, Ran Song +5
Network pruning techniques, including weight pruning and filter pruning, reveal that most state-of-the-art neural networks can be accelerated without a significant performance drop…
McQueen: a Benchmark for Multimodal Conversational Query Rewrite
Yifei Yuan, Chen Shi, Runze Wang +4
The task of query rewrite aims to convert an in-context query to its fully-specified version where ellipsis and coreference are completed and referred-back according to the history…
iEmoTTS: Toward Robust Cross-Speaker Emotion Transfer and Control for Speech Synthesis based on Disentanglement between Prosody and Timbre
Guangyan Zhang, Ying Qin, Wenjie Zhang +5
The capability of generating speech with specific type of emotion is desired for many applications of human-computer interaction. Cross-speaker emotion transfer is a common approac…
NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging
Zihan Liu, Feijun Jiang, Yuxiang Hu +2
Named entity recognition (NER) models generally perform poorly when large training datasets are unavailable for low-resource domains. Recently, pre-training a large-scale language…
BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modeling
Zhaojiang Lin, Andrea Madotto, Genta Indra Winata +5
Task-oriented dialogue (ToD) benchmarks provide an important avenue to measure progress and develop better conversational agents. However, existing datasets for end-to-end ToD mode…