Sequence To Sequence Models
Enhanced Sequential Inference Model
Introduced by Chen et al. in Enhanced LSTM for Natural Language InferenceEnhanced Sequential Inference Model or ESIM is a sequential NLI model proposed in Enhanced LSTM for Natural Language Inference paper.
Source: Enhanced LSTM for Natural Language Inference
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Natural Language Inference | 9 | 36.00% |
| Sentence | 3 | 12.00% |
| Common Sense Reasoning | 2 | 8.00% |
| Multi-Task Learning | 1 | 4.00% |
| Recommendation Systems | 1 | 4.00% |
| Sequential Recommendation | 1 | 4.00% |
| Language Modelling | 1 | 4.00% |
| Learning-To-Rank | 1 | 4.00% |
| Goal-Oriented Dialog | 1 | 4.00% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
