27 citations · 44 across the 5 of their papers we have counts for
5 papers
Recouple Event Field via Probabilistic Bias for Event Extraction
Xingyu Bai, Taiqiang Wu, Han Guo +7
Event Extraction (EE), aiming to identify and classify event triggers and arguments from event mentions, has benefited from pre-trained language models (PLMs). However, existing PL…
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching
Kunbo Ding, Weijie Liu, Yuejian Fang +3
Previous studies have proved that cross-lingual knowledge distillation can significantly improve the performance of pre-trained models for cross-lingual similarity matching tasks.…
Semantic Matching from Different Perspectives
Weijie Liu, Tao Zhu, Weiquan Mao +4
In this paper, we pay attention to the issue which is usually overlooked, i.e., \textit{similarity should be determined from different perspectives}. To explore this issue, we rele…
TableQA: a Large-Scale Chinese Text-to-SQL Dataset for Table-Aware SQL Generation
Ningyuan Sun, Xuefeng Yang, Yunfeng Liu
Parsing natural language to corresponding SQL (NL2SQL) with data driven approaches like deep neural networks attracts much attention in recent years. Existing NL2SQL datasets assum…
Improving Relation Extraction with Knowledge-attention
Pengfei Li, Kezhi Mao, Xuefeng Yang +1
While attention mechanisms have been proven to be effective in many NLP tasks, majority of them are data-driven. We propose a novel knowledge-attention encoder which incorporates p…