Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World
Saved in:
| Main Authors: | Jayant Krishnamurthy, Thomas Kollar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The MIT Press
2021-03-01
|
| Series: | Transactions of the Association for Computational Linguistics |
| Online Access: | http://dx.doi.org/10.1162/tacl_a_00220 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Discriminative Reranking for Natural Language Parsing
by: Michael Collins, et al.
Published: (2021-03-01) -
Joint Incremental Disfluency Detection and Dependency Parsing
by: Matthew Honnibal, et al.
Published: (2021-03-01) -
From Tax Compliance in Natural Language to Executable Calculations: Combining Lexical-grammar-based Parsing and Machine Learning
by: Esme Manandise, et al.
Published: (2021-04-01) -
Joint Arc-factored Parsing of Syntactic and Semantic Dependencies
by: Xavier Lluís, et al.
Published: (2021-03-01) -
Surface Statistics of an Unknown Language Indicate How to Parse It
by: Dingquan Wang, et al.
Published: (2021-03-01)