Constituent centric architecture for reading comprehension
US10706234B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 9, 2018 |
| Grant date | Jul 7, 2020 |
| Priority date | — |
| Expiry date | Aug 2, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A constituent-centric neural architecture for reading comprehension is disclosed. One embodiment provides a method that performs reading comprehension comprising encoding individual constituents from a text passage using a chain of trees long short-term encoding, encodes question related to the text passage using a tree long short-term memory encoding, generates a question-aware representation for each constituent in the passage using a tree-guided attention mechanism, generates a plurality of candidate answers from the question-aware representation using hierarchical relations among constituents, and predicts an answer to the question in relation to the text passage using a feed-forward network. Other embodiments are disclosed herein.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.