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Wanli Zuo

2 accepted papers

2022

Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding

EMNLP 2022main

Despite the great success of spoken language understanding (SLU) in high-resource languages, it remains challenging in low-resource languages mainly due to the lack of labeled training data. The recent multilingual code-switching approach achieves better alignments of model representations across la…

2020

A Review of Dataset and Labeling Methods for Causality Extraction

COLING 2020main

Causality represents the most important kind of correlation between events. Extracting causali-ty from text has become a promising hot topic in NLP. However, there is no mature research systems and datasets for public evaluation. Moreover, there is a lack of unified causal sequence label methods, wh…

Cited by 37SourcePDFScholar