International Business Machines Corporation

Fabio Lorenzi

William Karol Lynch

Kavitha Srinivas

Horst Cornelius Samulowitz

Joern Ploennigs

Michael Barry

A method, system, and computer program product are disclosed. The method includes extracting at least one identifier from a formula in a document and extracting text passages in the document that contain the identifier(s). The method also includes selecting an identifier and extracted text passages containing the identifier, as well as generating identifier-passage pairs for the selected text passages and the identifier. Further, the method includes submitting the identifier-passage pairs to a question answering (QA) model, which generates candidate answers from the selected text passages. A definition of the identifier is then selected from the candidate answers.

Question answering approach to semantic parsing of mathematical formulas

Various embodiments are provided for managing and interacting with a conversational agent in an internet of things (IoT) environment by a processor. One or more graph patterns may be extracted from a knowledge graph generated from a sensor list containing one or more IoT sensors. One or more conversation patterns and conversation dialogs may be learned from the sensor list and graph patterns. The conversational agent may be automatically configured with the one or more graph patterns, the one or more conversational patterns and conversation dialogs, sensor data and analytics from the one or more IoT sensors according to one or more queries to engage in a conversation dialog with a user.

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Tyrrelstown, Ireland

Fabio Lorenzi