Narrative Science Inc.

Salesforce, Inc.

Matthew Lloyd Trahan

Nathan Drew Nichols

Andrew R Paley

Maia Lewis Meza

Lawrence A Birnbaum

Kristian J Hammond

Michael Tien Thinh Pham

Charlie M Truong

Brett Richard Taylor

Aaron Brown

Samuel John Young

Ameet Nirmal Vaswani

Michael Justin Smathers

Nathan William Krapf

Steven Michael Reddie

Peter Frank Hill

Systems and methods are disclosed for integrating NLG-based natural language narrative story generation with story sharing. A processor can (1) generate a plurality of natural language narrative stories based on a plurality of semantic source models for the natural language narrative stories, (2) analyze the semantic source models to determine a plurality of users to whom the natural language narrative stories that are generated from the analyzed semantic source models are to be shared, and (3) share the generated natural language narrative stories with their determined users. In this fashion, stories can be posted to user-customized newsfeeds in a manner that can more reliably capture stories that are of interest to the users.

Applied artificial intelligence technology for integrating natural language narrative generation with newsfeeds

Artificial intelligence (AI) technology can be used in combination with composable communication goal statements to facilitate a user's ability to quickly structure story outlines in a manner usable by an NLG narrative generation system without any need for the user to directly author computer code. Narrative analytics that are linked to communication goal statements can employ a conditional outcome framework that allows the content and structure of resulting narratives to intelligently adapt as a function of the nature of the data under consideration. This AI technology permits NLG systems to determine the appropriate content for inclusion in a narrative story about a data set in a manner that will satisfy a desired communication goal.

Applied artificial intelligence technology for narrative generation based on a conditional outcome framework

Artificial intelligence (AI) technology can be used process natural language statements to facilitate the automated generation of narratives about data sets that achieve a desired communication goal without any need for a user to directly author computer code. This AI technology permits NLG systems to determine the appropriate content for inclusion in the narrative in a manner that will satisfy the desired communication goal.

Applied artificial intelligence technology for performing natural language generation (NLG) using composable communication goals and ontologies to generate narrative stories

Artificial intelligence (AI) technology can be used in combination with composable communication goal statements and an ontology to facilitate a user's ability to quickly structure story outlines in a manner usable by an NLG narrative generation system without any need for the user to directly author computer code. This AI technology permits NLG systems to determine the appropriate content for inclusion in a narrative story about a data set in a manner that will satisfy a desired communication goal.

Artificial intelligence (AI) technology can be used in combination with composable communication goal statements and an ontology to facilitate a user's ability to quickly structure story outlines in a manner usable by an NLG narrative generation system without any need for the user to directly author computer code. This AI technology permits NLG systems to determine the appropriate content for inclusion in a narrative story about a data set in a manner that will satisfy a desired communication goal. The AI technology permits multiple communication goal statements to be arranged into a story outline that defines a narrative structure for the narrative story.

Applied artificial intelligence technology for story outline formation using composable communication goals to support natural language generation (NLG)

Artificial intelligence (AI) technology can be used in combination with composable communication goal statements and an ontology to facilitate a user's ability to quickly structure story outlines in a manner usable by an NLG narrative generation system without any need for the user to directly author computer code. This AI technology permits NLG systems to determine the appropriate content for inclusion in a narrative story about a data set in a manner that will satisfy a desired communication goal. The AI NLG computer system can also build and update the ontology concurrently with a user's composition of communication goal statements.

Applied artificial intelligence technology for ontology building to support natural language generation (NLG) using composable communication goals

Artificial intelligence (AI) technology can be used in combination with composable communication goal statements and an ontology to facilitate a user's ability to quickly structure story outlines in a manner usable by an NLG narrative generation system without any need for the user to directly author computer code. This AI technology permits NLG systems to determine the appropriate content for inclusion in a narrative story about a data set in a manner that will satisfy a desired communication goal. The AI technology also permits story edits to cause corresponding updates to an ontology and/or story outline used to support narrative generation.

Applied artificial intelligence technology for interactive story editing to support natural language generation (NLG)

Artificial intelligence (AI) technology can be used in combination with composable communication goal statements to facilitate a user's ability to quickly structure story outlines using 'analyze' communication goals in a manner usable by an NLG narrative generation system without any need for the user to directly author computer code. This AI technology permits NLG systems to determine the appropriate content for inclusion in a narrative story about a data set in a manner that will satisfy a desired analysis communication goal such that the narratives will express various ideas that are deemed relevant to a given analysis communication goal.

Applied artificial intelligence technology for narrative generation based on analysis communication goals

Applied artificial intelligence technology for determining and mapping data requirements for narrative stories to support natural language generation (NLG) using composable communication goals

Artificial intelligence (AI) technology can be used in combination with composable communication goal statements and an ontology to facilitate a user's ability to quickly structure story outlines in a manner usable by an NLG narrative generation system without any need for the user to directly author computer code. This AI technology permits NLG systems to determine the appropriate content for inclusion in a narrative story about a data set in a manner that will satisfy a desired communication goal. The determined content can be arranged in a computed story outline that is created at runtime, and NLG can be performed on the computed story outline to generate the narrative story.

Growing community of inventors

Chicago, IL, United States of America

Matthew Lloyd Trahan