Implementation of concepts from Stanford's CS224n NLP with Deep Learning
| Model | Code | Links |
|---|---|---|
| 0.1 Skip-gram Negative Sampling | Python 3.5 + Tensorflow 1.9.0 | [ notebook / paper ] |
| 0.2 GloVe (Global Vectors) | Python 3.5 + Tensorflow 1.9.0 | [ notebook / paper ] |
| 0.3 Window NER Simple NN | Python 3.5 | [ notebook / slides ] |
| 0.4 Dependency Parser | Python 3.5 + Tensorflow 1.9.0 | [ notebook / paper ] |