公开(公告)号：US11030408B1

公开(公告)日：2021-06-08

申请号：US16277006

申请日：2019-02-15

申请人： Narrative Science Inc.

发明人： Maia Lewis Meza ,  Clayton Nicholas Norris ,  Michael Justin Smathers ,  Daniel Joseph Platt ,  Nathan D. Nichols

IPC分类号： G06F40/295 ,  G06F40/211 ,  G06F40/268 ,  G06F40/30

摘要： Disclosed herein is an NLP system that is able to extract meaning from a natural language message using improved parsing techniques. Such an NLP system can be used in concert with an NLG system to interactively interpret messages and generate response messages in an interactive conversational stream. The parsing can include (1) named entity recognition that contextualizes the meanings of words in a message with reference to a knowledge base of named entities understood by the NLP and NLG systems, (2) syntactically parsing the message to determine a grammatical hierarchy for the named entities within the message, (3) reduction of recognized named entities into aggregations of named entities using the determined grammatical hierarchy and reduction rules to further clarify the message's meaning, and (4) mapping the reduced aggregation of named entities to an intent or meaning, wherein this intent/meaning can be used as control instructions for an NLG process.

公开(公告)号：US11568148B1

公开(公告)日：2023-01-31

申请号：US16183270

申请日：2018-11-07

申请人： Narrative Science Inc.

发明人： Nathan D. Nichols ,  Andrew R. Paley ,  Maia Lewis Meza ,  Santiago Santana

IPC分类号： G06F40/30 ,  G06N5/02 ,  G06N20/00 ,  G06F40/295

摘要： 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 “explanation” 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 explanation communication goal such that the narratives will express various ideas that are deemed relevant to a given explanation communication goal.

公开(公告)号：US11182556B1

公开(公告)日：2021-11-23

申请号：US16277008

申请日：2019-02-15

申请人： Narrative Science Inc.

发明人： Maia Lewis Meza ,  Clayton Nicholas Norris ,  Michael Justin Smathers ,  Daniel Joseph Platt ,  Nathan D. Nichols

IPC分类号： G06F40/295 ,  G06F40/30 ,  G06F40/56 ,  G06F40/211

摘要： Disclosed herein is an NLP system that is able to extract meaning from a natural language message using improved parsing techniques. Such an NLP system can be used in concert with an NLG system to interactively interpret messages and generate response messages in an interactive conversational stream. The parsing can include (1) named entity recognition that contextualizes the meanings of words in a message with reference to a knowledge base of named entities understood by the NLP and NLG systems, (2) syntactically parsing the message to determine a grammatical hierarchy for the named entities within the message, (3) reduction of recognized named entities into aggregations of named entities using the determined grammatical hierarchy and reduction rules to further clarify the message's meaning, and (4) mapping the reduced aggregation of named entities to an intent or meaning, wherein this intent/meaning can be used as control instructions for an NLG process.