Concept extraction using title and emphasized text
OwnerRajyashree Mukherjee, Yongzheng Zhang +1inventors
InventorsRajyashree Mukherjee, Yongzheng Zhang, Benny Soetarman
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OwnerRajyashree Mukherjee, Yongzheng Zhang +1inventors
InventorsRajyashree Mukherjee, Yongzheng Zhang, Benny Soetarman
Estimating the term…
A concept extraction machine accesses textual data of a document. The document comprises text and a title, and the textual data comprises the title and the text of the document. The concept extraction machine identifies a portion of the text as a text token. The concept extraction machine identifies the text token based on the portion of the text appearing in the emphasized text and in the title. The concept extraction machine further calculates a relevance value of the text token based on the textual data. The relevance value represents a probability that the text token is relevant to a concept expressed in the document. Based on the relevance value, the concept extraction machine stores the text token as concept metadata of the document. The concept extraction machine indexes the concept metadata and searches the concept metadata to identify the document in response to a search request.
A computer-implemented method comprising:
A system comprising:
A machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform a method comprising:
Dependencies are inferred from the claim text.