EXTRACTING INFORMATION FROM STRUCTURED DOCUMENTS COMPRISING NATURAL LANGUAGE TEXT

摘要

Systems and methods for extracting information from structured documents comprising natural language text. An example method comprises: receiving a table comprising a natural language text; identifying, within the table, a header and a plurality of cells organized into rows and columns; performing semantico-syntactic analysis of the natural language text to produce a plurality of semantic structures; interpreting the plurality of semantic structures using a first set of production rules to produce a data object representing the table; analyzing the header to identify a plurality of ontology classes associated with respective table columns; and modifying the data object representing the table using a second set of production rules associated with the ontology classes associated with the table columns.

主权项

1. A method, comprising:
receiving, by a processing device, a table comprising a natural language text; identifying, within the table, a header and a plurality of cells organized into rows and columns; performing semantico-syntactic analysis of the natural language text to produce a plurality of semantic structures; interpreting the plurality of semantic structures using a first set of production rules to produce a data object representing the table; analyzing the header to identify a plurality of ontology classes associated with respective table columns; and modifying the data object representing the table using a second set of production rules associated with the ontology classes associated with the table columns.