Informal mathematical text underpins real-world quantitative reasoning and communication. Developing sophisticated methods of retrieval and abstraction from this dual modality is crucial in the pursuit of the vision of automating discovery in quantitative science and mathematics. We track the development of informal mathematical language processing approaches across five strategic sub-areas in recent years, highlighting the prevailing successful methodological elements along with existing limitations.
翻译:非正式数学文本是真实世界定量推理和交流的基础。从这种双重模式中开发复杂的检索和抽象方法对于实现量化科学和数学发现自动化的愿景至关重要。我们跟踪近年在五个战略子领域开发非正规数学语言处理方法的情况,突出当前成功的方法要素以及现有的局限性。