Project Overview

Client needed the tool, which can efficiently parse different structured entities from unstructured OCR recognized text. Deliverables: 

- Entity names parser

- Address parser

- Date parser

- Quantities and measures parser

- Money parser

- Efficient mechanist to minimize false detections

- Mechanism for automated labelling of the training dataset

Technology stack:

Python 2.7, Tensorflow, Stanford core NLP, Spacy, Grobid, datefinder, nltk, quantulum.

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