Text Summarization
OwnerHelen Y. Balinsky, Alexander Balinsky +1inventors
InventorsHelen Y. Balinsky, Alexander Balinsky, Steven J. Simske
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OwnerHelen Y. Balinsky, Alexander Balinsky +1inventors
InventorsHelen Y. Balinsky, Alexander Balinsky, Steven J. Simske
Estimating the term…
Methods, systems, and computer readable media with executable instructions, and/or logic are provided for text summarization. An example method of text summarization can include determining, via a computing system (674), a graph (314) with a small world structure, corresponding to a document (300) comprising text, wherein nodes (316) of the graph (314) correspond to text features (302, 304) of the document (300) and edges (318) between particular nodes (316) represent relationships between the text features (302, 304) represented by the particular nodes (316) (440). The nodes (316) (442) are ranked via the computing system (674), and those nodes (316) having importance in the small world structure (444) are identified via the computing system. Text features (302, 304) corresponding to the indentified nodes (316) are selected, via the computing system (674), as a summary (334) of the document (300) (446).
A method for text summarization, comprising:
The method of claim 19, wherein ranking the nodes (316) includes sorting the nodes (318) in a decreasing order of the measure of centrality in the small world.
A non-transitory computer-readable medium (676, 681,684, 795) having computer-readable instructions (682) stored thereon that, if executed by a processor (680, 784), cause the processor (680, 794) to:
A computing system (674), comprising:
Dependencies are inferred from the claim text.