1 citations · 2 across the 6 of their papers we have counts for
6 papers
WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition
Jun-Yu Ma, Beiduo Chen, Jia-Chen Gu +5
Zero-shot cross-lingual named entity recognition (NER) aims at transferring knowledge from annotated and rich-resource data in source languages to unlabeled and lean-resource data…
Improved Speech Pre-Training with Supervision-Enhanced Acoustic Unit
Pengcheng Li, Genshun Wan, Fenglin Ding +4
Speech pre-training has shown great success in learning useful and general latent representations from large-scale unlabeled data. Based on a well-designed self-supervised learning…
Progressive Multi-Scale Self-Supervised Learning for Speech Recognition
Genshun Wan, Tan Liu, Hang Chen +3
Self-supervised learning (SSL) models have achieved considerable improvements in automatic speech recognition (ASR). In addition, ASR performance could be further improved if the m…
Improved Self-Supervised Multilingual Speech Representation Learning Combined with Auxiliary Language Information
Fenglin Ding, Genshun Wan, Pengcheng Li +2
Multilingual end-to-end models have shown great improvement over monolingual systems. With the development of pre-training methods on speech, self-supervised multilingual speech re…
Joint Chinese Word Segmentation and Span-based Constituency Parsing
Zhicheng Wang, Tianyu Shi, Cong Liu
In constituency parsing, span-based decoding is an important direction. However, for Chinese sentences, because of their linguistic characteristics, it is necessary to utilize othe…
Order-sensitive Neural Constituency Parsing
Zhicheng Wang, Tianyu Shi, Liyin Xiao +1
We propose a novel algorithm that improves on the previous neural span-based CKY decoder for constituency parsing. In contrast to the traditional span-based decoding, where spans a…