Information extraction from product test reports
Unstructured and textual information extraction from product test reports using machine learning and OCR. Training of named-entity extraction models, incremental and active learning.
Teklia has developed for its clients automatic document understanding systems based on Machine Learning in a wide range of application domains.
Genealogical information extraction
Document analysis, handwriting recognition and personal information extraction in 2 million parish record images from Quebec between 1880 and 1920.
Internal Control Procedures Analysis
Normalization and organization of internal control definitions.
Case Law Decisions Understanding
Data extraction, classification and summarization of case law decisions.
Semantic Analysis of Mails
Automatic prediction of priority levels from complaint mails.
Automatic IT Tickets Processing
Clustering of tickets by topics, automatic tickets classification and triaging.
Information extraction from medical record
Classification and numerical information extraction from medical records
Information extraction from scanned invoices
Automatic extraction financial information in scanned invoices
Automatic information redaction
Redaction of confidential information in fiscal forms. Automatic processing of a 2.5 million documents archive.
Analysis of Local Town Planning
Automatic extraction of construction rules from Local Town Planning (Plan locaux d'urbanisme).