Constructing content based on multi-sentence compression of source content
AssigneeAdobe Inc.
InventorsBalaji Vasan Srinivasan, Pranav Ravindra Maneriker, Natwar Modani, Kundan Krishna
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AssigneeAdobe Inc.
InventorsBalaji Vasan Srinivasan, Pranav Ravindra Maneriker, Natwar Modani, Kundan Krishna
Estimating the term…
Embodiments of the present invention provide systems, methods, and computer storage media directed to facilitating corpus-based content generation, in particular, using graph-based multi-sentence compression to generate a final content output. In one embodiment, pre-existing source content is identified and retrieved from a corpus. The source content is then parsed into sentence tokens, mapped and weighted. The sentence tokens are further parsed into word tokens and weighted. The mapped word tokens are then compressed into candidate sentences to be used in a final content. The final content is assembled using ranked candidate sentences, such that the final content is organized to reduce information redundancy and optimize content cohesion.
One or more computer storage media storing computer-useable instructions that, when executed by one or more computing devices, causes the one or more computing devices to perform operations, the operations comprising:
A computer implemented method for generating content based on graph-based sentence compression using retrieved source content present in a corpus, the method comprising:
A computer system comprising:
Dependencies are inferred from the claim text.