Parallel-hierarchical model for machine comprehension on small data
Number of patents in Portfolio can not be more than 2000
United States of America Patent
Stats
-
Jun 23, 2020
Grant Date -
Sep 21, 2017
app pub date -
Mar 16, 2017
filing date -
Mar 16, 2016
priority date (Note) -
In Force
status (Latency Note)
Importance
Abstract
Examples of the present disclosure provide systems and methods relating to a machine comprehension test with a learning-based approach, harnessing neural networks arranged in a parallel hierarchy. This parallel hierarchy enables the model to compare the passage, question, and answer from a variety of perspectives, as opposed to using a manually designed set of features. Perspectives may range from the word level to sentence fragments to sequences of sentences, and networks operate on word-embedding representations of text. A training methodology for small data is also provided.
First Claim
Family
International Classification(s)
- [Classification Symbol]
- [Patents Count]
Cited Art Landscape
Patent Citation Ranking
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully