Architecture and processes for computer learning and understanding

A computer-implemented method, comprising:

• maintaining a collection of frame structures within memory of a computing system, individual frame structures of the collection of frame structures defining a set of roles and relationships among the set of roles for one or more generative semantic primitive (GSP) structures that are commonly associated with a particular context of a setting or a background that may be expressed in natural language stories, a GSP structure of the one or more GSP structures having at least a threshold probability of being included in the individual frame structures that is associated with the particular context of the setting or the background of the natural language stories;
• processing, by the computing system, language corpora to produce knowledge resources indicative of natural language usage;
• creating, by the computing system, a new frame structure that defines a new set of roles and new relationships among the new set of roles based at least in part on the knowledge resources;
• engaging in multiple dialog sessions with computing devices of multiple human users in parallel to receive responses from the multiple human users for use by the computing system to evaluate, by the computing system, an extent to which the new frame structure predicts natural language excerpts in the language corpora based at least in part on mapping one or more entities in the natural language excerpts to one or more roles of the new set of roles defined in the new frame structure;
• and
• storing the new frame structure as part of the collection of frame structures in the memory of the computing system.

A computer-implemented method, comprising:

• maintaining a collection of frame structures within memory of a computing system, individual frame structures of the collection of frame structures defining a set of roles and relationships among the set of roles for multiple generative semantic primitive (GSP) structures that are commonly associated with a particular context of a setting or a background in natural language stories, individual GSP structures of the multiple GSP structures having at least a threshold probability of being included in the individual frame structures that is associated with the particular context of the setting or the background in the natural language stories;
• processing, by the computing system, the collection of frame structures stored in the memory according to one of deductive or abductive processes;
• creating, by the computing system, a new frame structure through logical and probabilistic reasoning of results from processing the collection of frame structures stored in the memory;
• engaging in multiple dialog sessions with computing devices of multiple human users in parallel to receive responses from the multiple human users for use by the computing system to evaluate, by the computing system, an extent to which the new frame structure predicts natural language excerpts in language corpora based at least in part on mapping one or more entities in the natural language excerpts to one or more roles defined in the new frame structure;
• and
• storing the new frame structure as part of the collection of frame structures in the memory of the computing system.

A computing system, comprising:

• a datastore to store a collection of frame structures, individual frame structures of the collection of frame structures defining a set of roles for one or more generative semantic primitive (GSP) structures that are commonly associated with a particular context of a setting or a background in natural language stories;
• one or more processors;
• and
• memory coupled to the one or more processors, the memory storing:
• a story parsing engine to syntactically analyze a natural language story to produce linguistic analysis results, wherein producing the linguistic analysis results includes:
• performing analysis on the natural language story to produce a syntactic representation of the natural language story;
• performing predicate argument structure (PAS) analysis on the syntactic representation of the natural language story;
• assigning one or more entity types to one or more words in the natural language story;
• and
• determining co-reference chains in the one or more words in the natural language story;
• a knowledge induction engine to process language corpora to produce knowledge resources indicative of natural language usage;
• and
• a knowledge integration engine to form a new frame structure based at least in part on at least one of the linguistic analysis results or the knowledge resources and based at least in part on expanding at least one frame structure of the collection of frame structures to include a new GSP structure, wherein the knowledge integration engine is configured to replace specific entities in the natural language story as found in the linguistic analysis results with corresponding generic entity types and to align specific entities in the natural language story to a new set of roles defined in the new frame structure, wherein the new frame structure is stored in the datastore.