My Natural Language Processing references.
NLP Topics
| CoNLL | Copora | Chunking |
|---|---|---|
| Lemmatizing | Stop words | tf–idf |
| Tokenization |
| Algorithm | Category |
|---|---|
| Levenshtein distance | Text similarities |
| Jaccard similarity | Text similarities |
| Cosine similarity | Text similarities |
| Global Vectors for Word Representation | Text similarities |
| word2vec | Text similarities |
| Support Vector Machines (SVM) | Text classification |
| Naive Bayes | Text classification |
| Neural Networks | Text classification |
| Decision Trees, Lucid Page | Text classification |
| Random Forests | Text classification |
| Boosting and Bagging algorithms, Differnce | Text classification |
| Supervised Latent Dirichlet Allocation (SLDA), Source | Text classification |
| Framework | Organisation | License | Language |
|---|---|---|---|
| fastText | BSD+Patents | C++ | |
| Tensorflow | Apache 2.0 | C++, Python | |
| PyTorch | BSD+Patents | Python | |
| GenSim | RaRe | LGPL2.1 | Python |
| SpaCy | explosion | MIT | Python |
| NLTK | NLTK | Apache 2.0 | Python |
| TextBlob | MIT | Python | |
| RASA NLU | Apache 2.0 | Python |
| Model | Resources | Repository |
|---|---|---|
| Seq2Seq | https://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf | https://github.com/google/seq2seq https://github.com/tensorflow/nmt |
| Seq2Seq Back propagation | http://neuralnetworksanddeeplearning.com/chap2.html https://arxiv.org/abs/1409.3215 https://arxiv.org/pdf/1511.01432.pdf | https://github.com/mnielsen/neural-networks-and-deep-learning |
| Memory end-end model | https://arxiv.org/abs/1503.08895 | https://github.com/facebookresearch/ParlAI https://github.com/facebook/MemNN |
| Deep Reinforcement Learning for Dialogue Generation | https://arxiv.org/pdf/1606.01541.pdf | https://github.com/liuyuemaicha/Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow |
Contributions are welcome.