皇冠体育app

AI application used

• natural language processing (NLP)

Objective

皇冠体育app Swedish Land Registry (SLR) needed to increase their efficiency when dealing with land registry requests.

Situation

皇冠体育app SLR鈥檚 case handlers receive many requests about properties and property rights from citizens. To make decisions, case handlers need to review historical information for that property, often dating back to the 1850s.

Case handlers spent approximately 48,000 hours a year manually translating and evaluating the handwritten documents. 皇冠体育app government charges citizens for the number of hours case handlers spend working on their request.

Action

皇冠体育app handwritten documents were of low quality and resolution which made analysis challenging. To fix this, the SLR carried out pre-processing work on the handwritten documents to improve the quality of the input data. 皇冠体育app SLR then used handwritten text recognition (HTR) to extract information from the handwritten documents.

皇冠体育app SLR then used a neural network to apply word corrections and associations to complete any sentences with words not captured by HTR. Once SLR had extracted the text, they used an AI model to highlight key features in the document, for example location, names and summary.

Impact

皇冠体育app model now allows case handlers to rapidly respond to citizen requests and focus more on urgent decisions.

Related guides

• Understanding artificial intelligence
• Assessing if artificial intelligence is the right solution
• Planning and preparing for artificial intelligence Implementation
• Managing your AI project
• Understanding artificial intelligence ethics and safety
• Examples of real-world artificial intelligence use
• National Cyber Security Centre
• 皇冠体育app Data Ethics Framework
• 皇冠体育app Technology Code of Practice