Multi-hop evidence pursuit
US12205027B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 15, 2022 |
| Grant date | Jan 21, 2025 |
| Priority date | — |
| Expiry date | Aug 12, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q99/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for neural network training is provided. The method inputs a training set of textual claims, lists of evidence including gold evidence chains, and claim labels labelling the evidence with respect to the textual claims. The claim labels include refutes, supports, and not enough information (NEI). The method computes an initial set of document retrievals for each of the textual claims. The method also includes computing an initial set of page element retrievals including sentence retrievals from the initial set of document retrievals for each of the textual claims. The method creates, from the training set of textual claims, a Leave Out Training Set which includes input texts and target texts relating to the labels. The method trains a sequence-to-sequence neural network to generate new target texts from new input texts using the Leave Out Training Set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.