Natural language processing topic
Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
espial
Espial is an engine for automated organization and discovery of personal knowledge
Deep-Learning-Experiments
Videos, notes and experiments to understand deep learning
Character-level-cnn-pytorch
Character-level CNN for text classification
Character-level-cnn-tensorflow
Character-level CNN for text classification
Hierarchical-attention-networks-pytorch
Hierarchical Attention Networks for document classification
allennlp_tutorial
Tutorial on how to use AllenNLP for sequence modeling (including hierarchical LSTMs and CRF decoding)
attention-viz
Lightweight visualization tool for neural attention mechanisms
DuReader_QANet_BiDAF
Using QANet and BiDAF on DuReader datasets
awesome-limits-of-dl4nlp
A curated list of papers exploring the limits of deep learning for NLP
jupyter-notebooks
This repo contains Jupyter Notebooks, miscellaneous stuff.