Auto-summarization engine for Q&A-structured documents
This technology takes documents structured as questions and answers — think customer support transcripts, FAQ pages, or interview records — and automatically converts them into smooth, readable declarative statements. It does this by analyzing the type of question asked and the type of answer given, then applying grammatical rules and machine learning to restructure the paired text into a coherent summary sentence. The system also handles different document formats and strips out personally identifiable information before processing. The result is a pipeline that turns raw Q&A content into clean, structured summaries without human editing.
What you could build
A document intelligence API or SaaS tool that auto-summarizes customer support tickets, survey responses, or interview transcripts into structured notes — sold to enterprise customer experience, HR, and market research teams who process high volumes of Q&A-format content.
Who in Virginia should care
Northern Virginia's dense concentration of federal contractors, consulting firms, and customer experience operations centers would be natural buyers of automated document summarization tools.
Readiness: Prototype likely
Concept — described but not yet demonstrated. Lab validated — supported by experimental results in the patent. Prototype likely — the text describes a built, working embodiment.
Readiness is inferred from the patent text, not from a lab visit.
The record
- Inventors
- Edward A. Fox, Saurabh Chakravarty, Raja Venkata Satya Phanindra Chava, Maanav Mehrotra
- Granted
- February 27, 2024
- Status
- Granted patent
- Patent number
- 11914954
Ready to talk?
Virginia Tech Intellectual Properties handles licensing for this technology.
Prosim summaries are generated from public patent text and are not legal advice.