Methods and systems for modeling complex taxonomies with natural language understanding

A system comprising:

• a memory;
• and
• a processor coupled to the memory and configured to:
• access, at a first node in a logical hierarchy configured to guide classification of a plurality of documents by the natural language model, at least one rule associated with the first node, said at least one rule defining a first factor for determining whether a document among the plurality of documents is to be classified into the first node;
• identify a percolation criterion associated with a second node in the logical hierarchy that is a parent node to the first node, said percolation criterion indicating that the at least one rule associated with the first node is to be associated also with the second node;
• and
• based on the identified percolation criterion, associate the at least one rule with the second node such that the at least one rule defines a second factor for determining whether the document is to also be classified into the second node, the document being classifiable according to the logical hierarchy into at least one of the second node and the first node based on the at least one rule associated with both the first node and the second node.

A non-transitory computer readable medium comprising instructions that, when executed by a processor, cause the processor to perform operations comprising:

• accessing, at a first node in a logical hierarchy configured to guide classification of a plurality of documents by the natural language model, at least one rule associated with the first node, said at least one rule defining a first factor for determining whether a document among the plurality of documents is to be classified into the first node;
• identifying a percolation criterion associated with a second node in the logical hierarchy that is a parent node to the first node, said percolation criterion indicating that the at least one rule associated with the first node is to be associated also with the second node;
• and
• based on the identified percolation criterion, associating the at least one rule with the second node such that the at least one rule defines a second factor for determining whether the document is to also be classified into the second node;
• the document being classifiable according to the logical hierarchy into at least one of the second node and the first node based on the at least one rule associated with both the first node and the second node.