Abstract: An information handling system for an on-the-box artificial intelligence productivity tool may comprise a memory storing descriptions of capabilities associated with software applications in a decision tree with each capability and a generated capability intent value stored as a capability node grouped under one of several branches in parent-child relationships, and a hardware processor executing machine readable code instructions to generate a query input intent value from a user query input requesting action by one of the software applications, comparing the capability intent values of each of the capability nodes in the decision tree, as weighted by a lexical comparison between the user query input and each of the descriptions of capabilities to conduct a breadth-first search to identify a best match childless capability node having a highest lexical weighted cosine semantic similarity search score, and executing the associated best match capability from the best match childless capability node.

Abstract: A system and method for executing computer readable code instructions for an on-the-box artificial intelligence (AI) productivity tool comprising a hardware processor receiving a user query input requesting a capability intent action by a capability of a plurality of AI productivity tool-enableable software applications and determining a query sentiment score from the user query input and appending the query sentiment score with a query intent value determined from an embedding of the user query input to generate a sentiment hybrid query input intent value. The hardware processor to perform a semantic similarity search comparing sentiment hybrid capability intent values of capability nodes of a capabilities decision tree with the sentiment hybrid query intent value to identify and execute a semantic context best match capability node having a highest sentiment weighted cosine semantic similarity search score in response to the user query input and user’s sentiment.

Abstract: An information handling system executing computer readable code instructions for an on the box artificial intelligence productivity tool to receive a user query input and, with a language dependent hybrid weighting algorithm determine a variable weighting factor based on a portion of the user query input that is in a primary language that is also used in descriptions of capabilities on the information handling system and any terms having a high keyword relevance score, and determining a language-dependent hybrid weighted semantic search score for each of the capabilities relative to the user query input by weighting the cosine semantic search score of a semantic comparison by a lexical keyword comparison score as modified by the variable weighting factor for the user query input. A hardware processor to identify and execute a responsive capability for the received user query input based on its language-dependent hybrid weighted semantic search score.

Abstract: An information handling system executing computer readable code instructions for an on the box artificial intelligence (AI) productivity tool may comprise a hardware processor executing computer-readable code instructions for generating toxicity intent values from natural language descriptions of defined toxic utterances that include metadata identifying a toxicity type and a defined response to the toxic utterance, generating a query input intent value for a user query input received via a user requesting an action by an AI productivity tool-enableable software, performing a cosine semantic similarity search comparing the toxicity intent values to the query input intent value to identify a matching toxic utterance in the user query input having a toxicity intent value that generates a highest toxicity cosine semantic similarity search score, and instructing the user interface to provide the defined response from metadata for the identified toxic utterance of a heightened type.

Abstract: An information handling system for an on-the-box artificial intelligence productivity tool may comprise a memory storing descriptions of capabilities associated with software applications in a decision tree with each capability and a generated capability intent value stored as a capability node grouped under one of several branches in parent-child relationships, and a hardware processor executing machine readable code instructions to generate a query input intent value from a user query input requesting action by one of the software applications, comparing the capability intent values of each of the capability nodes in the decision tree, as weighted by a lexical comparison between the user query input and each of the descriptions of capabilities to conduct a breadth-first search to identify a best match childless capability node having a highest lexical weighted cosine semantic similarity search score, and executing the associated best match capability from the best match childless capability node.

Abstract: A system and method for matching multimodal user-query input at an information handling system includes storing capabilities associated with a plurality of AI productivity tool-enablable software applications in a hierarchical capabilities decision tree with each node including natural language textual and non-textual modality descriptions of a capability and multimodal capability intent values generated from the same. Executing code instruction to receive a multimodal user-query input in any of text, audio, or image and generate a multimodal query input intent value for matching to a best match capability for a responsive action to be taken by one of the plurality of AI productivity tool-enablable software applications executing on the information handling system via a semantic similarity search comparing the multimodal query input intent value to the multimodal capability intent values in the hierarchical capabilities decision tree based on a highest cosine semantic similarity search score.

Abstract: An on the box artificial intelligence productivity tool may comprise a hardware processor executing computer-readable program code instructions for gathering natural language descriptions of capabilities associated with each of a plurality of AI productivity tool-enablable software applications, generating capability intent values from the natural language descriptions of the gathered capabilities, generating a query input intent value for a user query input received via text or audio requesting an action to be taken by one of the plurality of AI productivity tool-enableable software applications, executing a cosine semantic similarity search comparing the capability intent values to the query input intent value to identify a best match capability for the received user query input having a capability intent value that generates a highest cosine semantic similarity search score, and instructing a first of the plurality of AI productivity tool-enableable software applications having the best match capability to

Abstract: A system and method for executing computer readable code instructions for an on-the-box (OTB) artificial intelligence (AI) productivity tool comprising a hardware processor accessing capabilities associated with each of a plurality of AI productivity tool-enablable software applications, a natural language capabilities database memory to store natural language descriptions of the capabilities and capability intent values generated from the natural language descriptions in a capabilities decision tree with each capability node grouped under a branch of the capabilities decision tree according to logical topics in hierarchical parent-child relationships, the hardware processor generating a query input intent value from a user query input and performing a cosine semantic similarity search comparing the capability intent values of the capability nodes along the branch of the capabilities decision tree for identifying a best match capability node having a highest cosine semantic similarity search score, and the ha

Abstract: An information handling system for an on-the-box artificial intelligence productivity tool may comprise a memory storing descriptions of capabilities associated with software applications in a decision tree with each capability and a generated capability intent value stored as a capability node grouped under one of several branches in parent-child relationships, and a hardware processor executing machine readable code instructions to generate a query input intent value from a user query input requesting action by one of the software applications, comparing the capability intent values of the capability nodes along a branch in the decision tree with a weighted by a TF-IDF comparison between the user query input and each of the descriptions of capabilities to identify a best match capability node having a highest TF-IDF weighted cosine semantic similarity search score, and executing an associated best match capability for a first software application having the best match capability node.

Abstract: An on the box artificial intelligence productivity tool may comprise a hardware processor executing computer-readable program code instructions for gathering natural language descriptions of capabilities associated with each of a plurality of AI productivity tool-enablable software applications, generating capability intent values from the natural language descriptions of the gathered capabilities, generating a query input intent value for a user query input received via text or audio requesting an action to be taken by one of the plurality of AI productivity tool-enableable software applications, executing a cosine semantic similarity search comparing the capability intent values to the query input intent value to identify a best match capability for the received user query input having a capability intent value that generates a highest cosine semantic similarity search score, and instructing a first of the plurality of AI productivity tool-enableable software applications having the best match capability to

Abstract: A system and method of a hardware processor executing code instructions for selecting between artificial intelligence (AI) productivity tool-enablable software applications during processing an AI productivity tool query of an AI productivity tool module includes gathering capabilities associated with each of a plurality of AI productivity tool-enablable software applications, generating capability intent values for association with natural language descriptions of the gathered capabilities associated with each of a plurality of AI productivity tool-enablable software applications, comparing the capability intent values associated with each of a plurality of AI productivity tool-enablable software applications for similarity, and determining among the gathered capabilities of each of the AI productivity tool-enablable software applications redundant or primary AI productivity tool-enablable software application capabilities based on a similarity threshold vector value for selection of capabilities to be used