Composite extraction systems and methods for artificial intelligence platform
AssigneeOpen Text Corporation
InventorsPaul O’Hagan, Isidre Royo Bonnin, Robert Kapitan, Ravinder Reddy Yeddla, Renaud Levert
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AssigneeOpen Text Corporation
InventorsPaul O’Hagan, Isidre Royo Bonnin, Robert Kapitan, Ravinder Reddy Yeddla, Renaud Levert
Estimating the term…
A text mining system providing NLP and NLU capabilities is operable to perform, at a first processing layer, a first operation on input data to produce metadata about the input data. At a second processing layer, a rules module applies a composite AI extraction rule to further process the input data. The composite AI extraction rule has a rule condition that leverages the metadata from the first operation and a rule action that involves a second operation. Other composite AI extraction rules involving multiple text mining operations may also be applied. For instance, a rule may specify using the tonality of a document from a sentiment analysis to classify the document according to a relevant taxonomy. Another rule may specify classifying documents of a particular type under a specific category. In this way, new/enhanced information about the input data can be deduced, validated, and/or enriched.
A method, comprising:
Dependencies are inferred from the claim text.