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Find Passages in Text Regardless of Wording
by thingsTHINKING GmbH
0
ML Model
3
Summary
Summary
Overview
Overview
This process takes incoming documents either from email attachments or internal storage locations, then uses AI based on semantic meaning to read the documents and highlight/add/remove pre-defined key passages of text. The documents are then automatically sorted based on the AI findings.
Example: an NDA is required to have an exclusion clause for a specific third party. The robot finds an incoming document via email, and the AI determines this is an NDA but without the required exclusion. This document is then annotated with the recommended text and automatically uploaded into a ‘Corrected’ location for human review.
Features
Features
With AI assisted review, humans will only need to proof-read the recommended changes. With the automatic sorting of the documents, reviewers will already have an idea of what to expect in the document rather than reading from scratch.
Additional Information
Additional Information
Dependencies
Technical
Updated
Jun 10, 2021Works with
AI Center: 1.0 - 22.10
Tags
nlp
semantic
semantic search
text-analysis
text compare
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