Topical vector-quantized variational autoencoders for extractive summarization of video transcripts
US12147771B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 29, 2021 |
| Grant date | Nov 19, 2024 |
| Priority date | — |
| Expiry date | Oct 6, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
System and methods for a text summarization system are described. In one example, a text summarization system receives an input utterance and determines whether the utterance should be included in a summary of the text. The text summarization system includes an embedding network, a convolution network, an encoding component, and a summary component. The embedding network generates a semantic embedding of an utterance. The convolution network generates a plurality of feature vectors based on the semantic embedding. The encoding component identifies a plurality of latent codes respectively corresponding to the plurality of feature vectors. The summary component identifies a prominent code among the latent codes and to select the utterance as a summary utterance based on the prominent code.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.