Auto-summarization engine for Q&A and support content
This technology automatically converts question-and-answer documents — like customer service transcripts, surveys, or interview records — into clean, readable summaries. It works by parsing Q&A pairs, converting them into normal declarative sentences, and using a neural translation trick (translating to another language and back) to clean up awkward phrasing. The system then identifies the main topics, segments the content, and selects the most relevant sentences to build a structured summary. The result is a coherent written summary organized by topic, produced without human editing.
What you could build
An API or SaaS feature for CRM, customer intelligence, and enterprise knowledge management platforms that auto-generates structured summaries from support chat logs, survey responses, or interview transcripts. Primary buyers would be customer experience software vendors, market research firms, and enterprise IT teams managing large document repositories.
Who in Virginia should care
Northern Virginia's dense concentration of government contractors, federal agencies, and defense-adjacent IT firms that manage large volumes of structured Q&A data — including after-action reports, debriefs, and public comment records — would be natural users or licensees.
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, Satvik Chekuri, Maanav Mehrotra, Aarohi Sumant
- Granted
- May 14, 2024
- Status
- Granted patent
- Patent number
- 11983210
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.