7 citations · 16 across the 16 of their papers we have counts for
9 papers · 1 filter
Sequential Attention Module for Natural Language Processing
Mengyuan Zhou, Jian Ma, Haiqin Yang +2
Recently, large pre-trained neural language models have attained remarkable performance on many downstream natural language processing (NLP) applications via fine-tuning. In this p…
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…
Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables
Xiaoyi Ruan, Meizhi Jin, Jian Ma +4
Question answering from semi-structured tables can be seen as a semantic parsing task and is significant and practical for pushing the boundary of natural language understanding. E…
MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training
Jian Ma, Shuyi Xie, Haiqin Yang +4
This paper describes MagicPai's system for SemEval 2021 Task 7, HaHackathon: Detecting and Rating Humor and Offense. This task aims to detect whether the text is humorous and how h…
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…
Automatic Intent-Slot Induction for Dialogue Systems
Zengfeng Zeng, Dan Ma, Haiqin Yang +2
Automatically and accurately identifying user intents and filling the associated slots from their spoken language are critical to the success of dialogue systems. Traditional metho…