Compliance QA™  

Improve Human Resource responses to questions relating to compliance. Lymba’s Compliance QA™ is the engine that drives an internal facing compliance chatbot. The compliance chatbot speeds up response time and cuts administrative burden. Lymba inputs company policy documentation, FAQs and relevant laws to create a compliance knowledge base that can be queried by individual employees. The knowledge base utilizes cutting edge knowledge graph technologies and is abled to be queried with NL2Query™ which automatically transforms natural language queries into SPARQL.  

 

 

Use Cases 

  • HybridQA™ to Chatbot Integration: Connecting Internal Chatbot to Compliance Policies. A Major Global Banks’s compliance managers were flooded with emails regarding basic employee investment compliance questions. They needed a question answering system that would answer employee investment questions using existing company policies. Employee questions were not always explicitly addressed by company policies, as some nuance exists. Exact matches connecting to FAQs, while useful, were not comprehensive. 

 

 

Outcome: Lymba converted documents via semantics to RDF, stored them to an RDF Triple Store, and integrated our Hybrid QA™ tool into a Chatbot to retrieve answers. Users were able to ask questions such as “Does TPC approval expire? If I obtained TPC approval yesterday, can I execute the trade today?” Hybrid QA™ outperformed Lucene keyword matching and Deep Learning approaches in both accuracy and response time. Lymba increased chatbot performance from 74% to 91% as well as increasing speed. 

 
 
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