NarraText  Language Patterns Pyramid

Language Patterns
The Language Patterns Pyramid presents the various organizational layers of language, progressing from simple text extractions to Story Roles.
The higher the level in the pyramid the richer the semantics of the text extractions organized at that level.



Notes:
  1. Entity Recognition - this organizational layer contains Named Entity Extractions and other user-defined "structured" data extracted from unstructured text.
  2. Part-Of-Speech - this organizational layer tags all lexemes and phrasemes according to their syntactic/grammatical function in the sentence.
  3. Construction Role - this organizational layer extracts the various constituent/construction components found in the sentence. These components include noun phrases, verb phrases, and other syntactic constituents commonly recognized by Generative Grammars.
  4. Thematic Role - this organizational level identifies the semantic roles of noun, verb, adjective, and adverb phrases that are in the unstructured text. The roles are determined by sentence structure and verb alternations and semantics.
  5. Story Role - this organizational level focuses extractions that correspond to elements of story. Focus on these roles allows organizing text extractions into sequences of alternating events and states, which are  useful in determining cause-effect sequences, author discourse and rhetorical motives, and historical tracks (i.e. story-lines) pertaining to specific topics of interest.  Stories - told in the sequence of Story Roles - provide a means to make sense of the meaning associated with the text and to allow making and sustaining memories of topics, states, and events that make up history.
Dashboards are a popular way of representing information extracted from structured and unstructured data sources. They provide a "snapshot" of a static state of affairs captured at a specific point in the ongoing Business Story.
However, moving beyond dashboards as a means of assessing business operational histories to Stories, allows the capture of  topics with event and state sequences that a;;pw narrating a  dynamic business operational history through a period of time -Telling the Business Story.