30 citations · 47 across the 6 of their papers we have counts for
6 papers
Text-Aware Dual Routing Network for Visual Question Answering
Luoqian Jiang, Yifan He, Jian Chen
Visual question answering (VQA) is a challenging task to provide an accurate natural language answer given an image and a natural language question about the image. It involves mul…
A Chinese Multi-type Complex Questions Answering Dataset over Wikidata
Jianyun Zou, Min Yang, Lichao Zhang +8
Complex Knowledge Base Question Answering is a popular area of research in the past decade. Recent public datasets have led to encouraging results in this field, but are mostly lim…
Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models
Mengxi Wei, Yifan He, Qiong Zhang
Many business documents processed in modern NLP and IR pipelines are visually rich: in addition to text, their semantics can also be captured by visual traits such as layout, forma…
Enriching Pre-trained Language Model with Entity Information for Relation Classification
Shanchan Wu, Yifan He
Relation classification is an important NLP task to extract relations between entities. The state-of-the-art methods for relation classification are primarily based on Convolutiona…
Multi-Instance Learning for End-to-End Knowledge Base Question Answering
Mengxi Wei, Yifan He, Qiong Zhang +1
End-to-end training has been a popular approach for knowledge base question answering (KBQA). However, real world applications often contain answers of varied quality for users' qu…
Jointly Embedding Relations and Mentions for Knowledge Population
Miao Fan, Kai Cao, Yifan He +1
This paper contributes a joint embedding model for predicting relations between a pair of entities in the scenario of relation inference. It differs from most stand-alone approache…