Immediate Impact
5 from Science/Nature 69 standout
Citing Papers
Can Generative AI improve social science?
2024 Standout
A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations
2024 Standout
Works of Tal Linzen being referenced
The reliability of acceptability judgments across languages
2018
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
2016
Author Peers
| Author | Last Decade | Papers | Cites | |||
|---|---|---|---|---|---|---|
| Tal Linzen | 427 | 323 | 178 | 43 | 741 | |
| Vera Demberg | 490 | 476 | 247 | 72 | 905 | |
| William D. Lewis | 390 | 248 | 282 | 35 | 802 | |
| Colin Bannard | 464 | 233 | 468 | 34 | 935 | |
| Nathaniel J. Smith | 265 | 656 | 322 | 19 | 844 | |
| Suzanne Stevenson | 584 | 211 | 262 | 71 | 980 | |
| Mitchell P. Marcus | 594 | 120 | 102 | 34 | 815 | |
| Michael G. Dyer | 431 | 122 | 102 | 49 | 710 | |
| Jean Véronis | 518 | 109 | 109 | 28 | 744 | |
| Michiel van Lambalgen | 372 | 335 | 252 | 50 | 967 | |
| Judith Degen | 275 | 249 | 177 | 41 | 655 |
All Works
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