Timeline for Is there a Machine Comprehension system integrating several different linguistic constructions?
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jul 3, 2019 at 17:34 | vote | accept | R. S. | ||
| Jul 3, 2019 at 13:26 | comment | added | user21043 | Non-DL approaches wouldn't use vector spaces as their primary data structure. For example, they might dump discourse relations into a knowledge graph, where the discourse tag was the tag on the edge. Going full circle, they might have a DL model then subsume the knowledge graph, etc. | |
| Jul 3, 2019 at 10:25 | comment | added | Adam Bittlingmayer | Thanks. So how would a non-deep-learning (presumably rules-based) approach deal with the high dimensionality? (It seems like it must be even higher than at the phrase-level.) | |
| Jul 2, 2019 at 23:34 | history | answered | user21043 | CC BY-SA 4.0 |