Hierarchical BiLSTM Max Pooling
Introduced by Talman et al. in Sentence Embeddings in NLI with Iterative Refinement EncodersHBMP is a hierarchy-like structure of BiLSTM layers with max pooling. All in all, this model improves the previous state of the art for SciTail and achieves strong results for the SNLI and MultiNLI.
Source: Sentence Embeddings in NLI with Iterative Refinement Encoders
Latest Papers
| PAPER | DATE |
|---|---|
|
FarsTail: A Persian Natural Language Inference Dataset
• • • • • |
2020-09-18 |
|
Learning hierarchical behavior and motion planning for autonomous driving
• • • • |
2020-05-08 |
|
Sentence Embeddings in NLI with Iterative Refinement Encoders
• • |
2018-08-27 |
Tasks
| TASK | PAPERS | SHARE |
|---|---|---|
| Natural Language Inference | 2 | 22.22% |
| Cross-Lingual Natural Language Inference | 1 | 11.11% |
| Cross-Lingual Transfer | 1 | 11.11% |
| Autonomous Driving | 1 | 11.11% |
| Decision Making | 1 | 11.11% |
| Motion Planning | 1 | 11.11% |
| Sentence Embedding | 1 | 11.11% |
| Sentence Embeddings | 1 | 11.11% |
Usage Over Time
Components
| COMPONENT | TYPE |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |