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OPM Seeks Natural Language Processing Methods for Policy Analysis

OPM Seeks Natural Language Processing Methods for Policy Analysis - top government contractors - best government contracting event

OPM Seeks Natural Language Processing Methods for Policy Analysis - top government contractors - best government contracting event

The Office of Personnel Management has asked industry to suggest natural language techniques for federal employees to obtain insight into statutory and regulatory text as part of policy analysis efforts.

OPM said Tuesday in a FedBizOpps notice it is interested in topic modeling, text categorization and clustering, information extraction, named entity resolution, relationship extraction, sentiment analysis and summarization methods.

The agency added it wants information about chatbots and transactional bots that can be customized for non-information technology employees.

Approaches to NLP, which is a form of artificial intellgence, may help reduce the time personnel spends to read through government regulations, OPM noted.

Responses to the sources sought notice are due April 19. 

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