Abstract: The invention is directed to a natural language generation (NLG) software system that generates rich, content-sensitive human language descriptions based on unparsed raw domain-specific data. In one embodiment, the NLG software system may include a data parser/normalizer, a comparator, a language engine, and a document generator. The data parser/normalizer may be configured to retrieve specification information for items to be described by the NLG software system, to extract pertinent information from the raw specification information, and to convert and normalize the extracted information so that the items may be compared specification by specification. The comparator may be configured to use the normalized data from the data parser/normalizer to compare the specifications of the items using comparison functions and interpretation rules to determine outcomes of the comparisons.

Abstract: An interactive video within a content hosting website may appear to be a complete GUI. The interactive video may include both a static wrapper UI with interactive features including buttons, links to internal and external information, and dynamically updated text, and a video portion within the wrapper. The interactive video may be a single, annotated video file that includes dynamic links to periodically updated and dynamically updated information. For example, when the interactive video is an apartment finding service, if a community updates information within a database, the corresponding text information within the annotated areas of the interactive video may automatically update and replace the old information on the video.

Abstract: The invention is directed to a natural language generation (NLG) software system that generates rich, content-sensitive human language descriptions based on unparsed raw domain-specific data. In one embodiment, the NLG software system may include a data parser/normalizer, a comparator, a language engine, and a document generator. The data parser/normalizer may be configured to retrieve specification information for items to be described by the NLG software system, to extract pertinent information from the raw specification information, and to convert and normalize the extracted information so that the items may be compared specification by specification. The comparator may be configured to use the normalized data from the data parser/normalizer to compare the specifications of the items using comparison functions and interpretation rules to determine outcomes of the comparisons.