International Business Machines Corporation

Abhay Choudhary

Scott N Gerard

David Glenn George

Stephen Mitchell

Paul Charles James Dunning

Smitashree Choudhury

Wing Yin Leung

Jacek Adam Piskorski

A method, computer system, and a computer program product for semantic matching is provided. The present invention may include pre-processing and normalizing a job title. The present invention may include deconstructing the job title based on at least one semantic element. The present invention may include training a machine learning model. The present invention may include creating a contextual word representation of the job title using the at least one semantic element of the job title. The present invention may include computing a similarity score for each of the at least one semantic element of the job title. The present invention may lastly include applying a weight to the computed similarity score before making a final match assessment.

Semantic matching of job titles with limited contexts

Managing a computer database having a plurality of data entries, in a talent framework system. Generate a description text field of a data entry of the computer database by classifying sentences of one or more text streams stored in a text stream corpus. The classifying is performed by identifying, for a given sentence, whether the given sentence is relevant or irrelevant to a title text field of the data entry. K-means clustering can be used, where experimental data show that k=2 produces desirable classification outcomes.

Extracting relevant sentences from text corpus

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Dublin, Ireland

Abhay Choudhary