Abstract: Systems and methods for natural language processing of structured documents. In another embodiment, in an information processing apparatus comprising at least one computer processor, a method for processing a structured document may include: (1) receiving a document; (2) parsing the document into a plurality of components using a statistical parser; (3) extracting a plurality of entities from each component; (4) identifying a potential relationship between two of the plurality of entities; (5) generating a numeric representation for the potential relationship; (6) confirming the potential relationship with a logical regression model; and (7) generating and storing a unified structured file for the document.

Abstract: A method for facilitating a construction of a rank-ordered list of companies based on a theme is provided. The method includes identifying a plurality of companies associated with at least one stock exchange; determining search terms that relate to the theme; and constructing a query based on the search terms. For each company, the query is applied to a first set of company-specific textual sources and documents, in order to determine a textual relevance score, and the query is also applied to a second set of sources that relate to company-specific revenue data, in order to determine a revenue exposure score. The two scores are then combined into a composite score, and the companies are rank-ordered based on the respective composite scores. The rank-ordered list may be used for constructing a thematic investment portfolio.

Abstract: Systems and methods for natural language processing of structured documents. In another embodiment, in an information processing apparatus comprising at least one computer processor, a method for processing a structured document may include: (1) receiving a document; (2) parsing the document into a plurality of components using a statistical parser; (3) extracting a plurality of entities from each component; (4) identifying a potential relationship between two of the plurality of entities; (5) generating a numeric representation for the potential relationship; (6) confirming the potential relationship with a logical regression model; and (7) generating and storing a unified structured file for the document.