International Business Machines Corporation

Jatin Arora

Youngja Park

Natural language processing (NLP) methodologies and mechanisms are provided that include a named entity recognition (NER) computer model augmented to operate on an entity pattern embedding input feature in addition to other embedding input features. The mechanisms tokenize natural language content (NLC) to generate tokens and process a selected token in accordance with a predetermined entity pattern embedding technique to generate an entity pattern embedding input feature for the selected token. The entity pattern embedding input feature specifies a pattern of characters present in the selected token. The mechanisms process the NLC to generate the other embedding input features in accordance with other embedding techniques, and process, by the NER computer model, the other embedding input features and the entity pattern embedding input feature for the selected token to generate a predicted tag for the selected token. The predicted tag specifies a named entity type classification for the selected token.

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Urbana, IL, United States of America

Jatin Arora