International Business Machines Corporation

Faisal Mahbub Chowdhury

Alfio Massimiliano Gliozzo

Michael Robert Glass

Gaetano Rossiello

Nandana Sampath Mihindukulasooriya

An embodiment includes generating a training dataset by aligning text from a document of a document database with a named entity from a knowledge base. The embodiment generates an enhanced training dataset by updating the training dataset to include a named entity type and a named entity label associated with the named entity. The embodiment trains a natural language processing (NLP) model using the enhanced training dataset resulting in a trained NLP model. The embodiment identifies, using the trained NLP model, the named entity in a block of unstructured text and generates, using the trained NLP model, a target sequence that includes a relationship between the named entity and a tail entity, as well as the named entity type and the named entity label of the named entity and a tail entity type and a tail entity label of the tail entity.

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Woodside, NY, United States of America

Faisal Mahbub Chowdhury