Flexible pseudo-parsing of dense semi-structured text

A computer system, the computer system comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
• identifying one or more high confidence alignments of one or more entities and one or more identifiers in a set of documents, wherein the one or more high confidence alignments are a string of text within a maximum pre-configured proximity threshold, wherein the maximum pre-configured proximity threshold of the one or more high confidence alignments is a threshold where only one entity and one identifier occur in each of the one or more blocks of semi-structured text, and the one entity and the one identifier are within twenty characters of each other;
• analyzing one or more blocks of semi-structured text containing the one or more entities and the one or more identifiers;
• identifying one or more known alignments in each of the one or more blocks of semi-structured text containing the one or more entities and the one or more identifiers based on the one or more high confidence alignments, wherein the one or more known alignments area string of text;
• generating a structure template based on the one or more known alignments;
• applying the structure template to each of the one or more blocks of semi-structured text containing the one or more entities and the one or more identifiers;
• and
• annotating the set of documents with metadata, wherein the metadata annotation in the set of documents includes the structure template placed adjacent to each of the one or more blocks of semi-structured text containing the one or more entities and the one or more identifiers, wherein the metadata annotation in the set of documents includes a location of each of the one or more blocks of semi-structured text containing the one or more entities and the one or more identifiers, and wherein the metadata annotation in the set of documents is stored in a permanent query-specific knowledge base.

A computer program product, the computer program product comprising:

• one or more computer-readable tangible storage medium and program instructions stored on at least one of the one or more tangible storage medium, the program instructions executable by a processor capable of performing a method, the method comprising:
• identifying one or more high confidence alignments of one or more entities and one or more identifiers in a set of documents, wherein the one or more high confidence alignments are a string of text within a maximum pre-configured proximity threshold, wherein the maximum pre-configured proximity threshold of the one or more high confidence alignments is a threshold where only one entity and one identifier occur in each of the one or more blocks of semi-structured text, and the one entity and the one identifier are within twenty characters of each other;
• analyzing one or more blocks of semi-structured text containing the one or more entities and the one or more identifiers;
• identifying one or more known alignments in each of the one or more blocks of semi-structured text containing the one or more entities and the one or more identifiers based on the one or more high confidence alignments, wherein the one or more known alignments are a string of text;
• generating a structure template based on the one or more known alignments;
• applying the structure template to each of the one or more blocks of semi-structured text containing the one or more entities and the one or more identifiers;
• and
• annotating the set of documents with metadata, wherein the metadata annotation in the set of documents includes the structure template placed adjacent to each of the one or more blocks of semi-structured text containing the one or more entities and the one or more identifiers, wherein the metadata annotation in the set of documents includes a location of each of the one or more blocks of semi-structured text containing the one or more entities and the one or more identifiers, and wherein the metadata annotation in the set of documents is stored in a permanent query-specific knowledge base.