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BSc Thesis - Automatic Extraction of Indoor Venue Accessibility Information from Noisy Data - Mylène Brown-Coleman
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BSc Thesis by Mylène Brown-Coleman
This research addresses the challenges of extracting indoor venue accessibility information from noisy datasets, utilising the TinyBERT model with transfer learning on Google reviews datasets.
This research was conducted by Mylène Brown-Coleman in collaboration with AI Team, Urban Innovation and R&D, City of Amsterdam.
Involved civil servants: Iva Gornishka.
Supervisors: Xander Wilcke & Iva Gornishka