no code implementations • Findings of the Association for Computational Linguistics 2020 • Minlong Peng, Ruotian Ma, Qi Zhang, Lujun Zhao, Mengxi Wei, Changlong Sun, Xuanjing Huang
In this work, we explore the way to quickly adjust an existing named entity recognition (NER) system to make it capable of recognizing entity types not defined in the system.
no code implementations • 22 May 2020 • 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, format, and fonts.
no code implementations • 6 Mar 2019 • Mengxi Wei, Yifan He, Qiong Zhang, Luo Si
This paper proposes a novel approach based on multiple instance learning to address the problem of noisy answers by exploring consensus among answers to the same question in training end-to-end KBQA models.
Knowledge Base Question Answering Multiple Instance Learning