Ai-Jou Chou, Guilherme Goncalves, Sam Walton, Miriam Redi

“ ABSTRACT Machine learning models designed to improve citation quality in Wikipedia, such as text-based classifiers detecting sentences needing citations (“Citation Need” models) , have received a lot of attention from both the scientific and the Wikimedia communities. However, due to their highly technical nature, the accessibility of such models is limited, and their usage generally restricted to machine learning researchers and practitioners. ”

“ To overcome this issue, in this paper, we present a system called Citation Detective, which makes these models readily usable by the broader Wikipedia and research community. Citation Detective “productionizes” the Citation Need model by applying the classifier to a large number of articles from the English Wikipedia and periodically releasing a public dataset of unsourced statements on the encyclopedia. ”

“ Next, we split a sentence into words, and trans- form each word into its embedding by matching it with akey in the sentence dictionary. Similarly, we trasnform the section title into a section embedding using the section dictionary. ”