70 citations · 102 across the 8 of their papers we have counts for
8 papers
Improving Video Retrieval by Adaptive Margin
Feng He, Qi Wang, Zhifan Feng +4
Video retrieval is becoming increasingly important owing to the rapid emergence of videos on the Internet. The dominant paradigm for video retrieval learns video-text representatio…
Mixture of Experts for Biomedical Question Answering
Damai Dai, Wenbin Jiang, Jiyuan Zhang +5
Biomedical Question Answering (BQA) has attracted increasing attention in recent years due to its promising application prospect. It is a challenging task because the biomedical qu…
Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning
Zixuan Li, Saiping Guan, Xiaolong Jin +7
A Temporal Knowledge Graph (TKG) is a sequence of KGs corresponding to different timestamps. TKG reasoning aims to predict potential facts in the future given the historical KG seq…
Building Chinese Biomedical Language Models via Multi-Level Text Discrimination
Quan Wang, Songtai Dai, Benfeng Xu +4
Pre-trained language models (PLMs), such as BERT and GPT, have revolutionized the field of NLP, not only in the general domain but also in the biomedical domain. Most prior efforts…
Link Prediction on N-ary Relational Facts: A Graph-based Approach
Quan Wang, Haifeng Wang, Yajuan Lyu +1
Link prediction on knowledge graphs (KGs) is a key research topic. Previous work mainly focused on binary relations, paying less attention to higher-arity relations although they a…
Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction
Benfeng Xu, Quan Wang, Yajuan Lyu +2
Entities, as the essential elements in relation extraction tasks, exhibit certain structure. In this work, we formulate such structure as distinctive dependencies between mention p…
Neural Data-to-Text Generation with Dynamic Content Planning
Kai Chen, Fayuan Li, Baotian Hu +3
Neural data-to-text generation models have achieved significant advancement in recent years. However, these models have two shortcomings: the generated texts tend to miss some vita…
CoKE: Contextualized Knowledge Graph Embedding
Quan Wang, Pingping Huang, Haifeng Wang +6
Knowledge graph embedding, which projects symbolic entities and relations into continuous vector spaces, is gaining increasing attention. Previous methods allow a single static emb…