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When programmers encounter an unfamiliar API library, they often need to refer to its documentations, tutorials, or discussions on development forums to learn its proper usage. These API documents contain valuable information, but may also mislead programmers as they may contain errors (e.g., broken code names and obsolete code samples). Although most API documents are actively maintained and updated, studies show that many new and latent errors do exist. It is tedious and error-prone to find such errors manually as API documents can be enormous with thousands of pages. Existing tools are ineffective in locating documentation errors because traditional natural language (NL) tools do not understand code names and code samples, and traditional code analysis tools do not understand NL sentences. In this paper, we propose the first approach, DOCREF, specifically designed and developed to detect …