23 citations · 27 across the 5 of their papers we have counts for
6 papers
MathBERT: A Pre-Trained Model for Mathematical Formula Understanding
Shuai Peng, Ke Yuan, Liangcai Gao +1
Large-scale pre-trained models like BERT, have obtained a great success in various Natural Language Processing (NLP) tasks, while it is still a challenge to adapt them to the math-…
Automatic Description Construction for Math Expression via Topic Relation Graph
Ke Yuan, Zuoyu Yan, Yibo Li +2
Math expressions are important parts of scientific and educational documents, but some of them may be challenging for junior scholars or students to understand. Nevertheless, const…
ConvMath: A Convolutional Sequence Network for Mathematical Expression Recognition
Zuoyu Yan, Xiaode Zhang, Liangcai Gao +2
Despite the recent advances in optical character recognition (OCR), mathematical expressions still face a great challenge to recognize due to their two-dimensional graphical layout…
Automatic Generation of Headlines for Online Math Questions
Ke Yuan, Dafang He, Zhuoren Jiang +3
Mathematical equations are an important part of dissemination and communication of scientific information. Students, however, often feel challenged in reading and understanding mat…
Mathematics Content Understanding for Cyberlearning via Formula Evolution Map
Zhuoren Jiang, Liangcai Gao, Ke Yuan +3
Although the scientific digital library is growing at a rapid pace, scholars/students often find reading Science, Technology, Engineering, and Mathematics (STEM) literature dauntin…
Preliminary Exploration of Formula Embedding for Mathematical Information Retrieval: can mathematical formulae be embedded like a natural language?
Liangcai Gao, Zhuoren Jiang, Yue Yin +3
While neural network approaches are achieving breakthrough performance in the natural language related fields, there have been few similar attempts at mathematical language related…