In this work, we assume that a topic model provides a reasonable proxy for the concepts a person might identify in a technical corpus.
there are several difficulties with this approach: (1) It is quite labor-intensive to manually generate a concept graph; (2) we expect only moderate agreement between graphs produced by different experts, who have different ideas of what concepts are important and distinct and which concepts are important to understanding others; and (3) the concept graphs we learn from a collection of documents will differ significantly from those we imagine, without these differences necessarily being better or worse.