archived project

LogX / SQUID

DARPA logistics machine-reading work for extracting supply-chain events, document structure, and process signals from unstructured text.

The LogX/SQUID work focused on mining unstructured text for supply-chain logistics: event extraction, ordering, document layout analysis, and query understanding for logistics workflows.

Role
PI, Phase I subcontract through Raytheon BBN
Period
2020
Audience
research funders, applied NLP teams, logistics analysts

Themes

Skills and Tools

PythonNLPInformation ExtractionDocument Layout Analysis

Links

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