Conference PaperTowards Knowledge Acquisition of Metadata on AI ProgressChen, Zhiyul Trabelsi; Davison, Brian D; Heflin, JeffTaylor, Kerry; Gonçalves, Rafael; Lecue, Freddy; Yan, JunWe propose an ontology to help AI researchers keep track of the scholarly progress of AI related tasks such as natural language processing and computer vision. We first define the core entities and relations in the proposed Machine Learning Progress Ontology (MLPO). Then we describe how to use the techniques in natural language processing to construct a Machine Learning Progress Knowledge Base (MPKB) that can support various downstream tasks.2020-10-3110254052CEUR workshop proceedings2721232-2371613-0073https://doi.org/1816325National Science Foundation