21 citations · 61 across the 10 of their papers we have counts for
7 papers · 1 filter
A Diversity-Enhanced and Constraints-Relaxed Augmentation for Low-Resource Classification
Guang Liu, Hailong Huang, Yuzhao Mao +3
Data augmentation (DA) aims to generate constrained and diversified data to improve classifiers in Low-Resource Classification (LRC). Previous studies mostly use a fine-tuned Langu…
RefBERT: Compressing BERT by Referencing to Pre-computed Representations
Xinyi Wang, Haiqin Yang, Liang Zhao +2
Recently developed large pre-trained language models, e.g., BERT, have achieved remarkable performance in many downstream natural language processing applications. These pre-traine…
Progressive Open-Domain Response Generation with Multiple Controllable Attributes
Haiqin Yang, Xiaoyuan Yao, Yiqun Duan +3
It is desirable to include more controllable attributes to enhance the diversity of generated responses in open-domain dialogue systems. However, existing methods can generate resp…
Emotion Dynamics Modeling via BERT
Haiqin Yang, Jianping Shen
Emotion dynamics modeling is a significant task in emotion recognition in conversation. It aims to predict conversational emotions when building empathetic dialogue systems. Existi…
PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguation
Shuyi Xie, Jian Ma, Haiqin Yang +3
This paper presents the PALI team's winning system for SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation. We fine-tune XLM-RoBERTa model to solve t…
KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph
Yiying Yang, Xi Yin, Haiqin Yang +5
Entity synonyms discovery is crucial for entity-leveraging applications. However, existing studies suffer from several critical issues: (1) the input mentions may be out-of-vocabul…