Adobe Inc.
Automatically generating instructions from tutorials for search and user navigation

Abstract:

Various embodiments describe a segmentation application that uses a predictive model to segment content from instruction manuals. In an example, the segmentation application receives training data including training labels and steps available from instruction manuals. The segmentation application trains a predictive model based on the training data and a loss function. The training includes generating, by the predictive model, a prediction of whether the sub-step is the start of the step and minimizing the loss function based on comparison of the prediction to the training label. Upon completion of the training, the segmentation application identifies electronic sources and a start indicator indicating a start of a specific step. The segmentation application provides, in response to a query about an object from a client device, a step generated from the start indicator.