eScience Neural NLP

eScience Neural NLP

1. Tasks

   • Natural Language Understanding
     • Semantic Role Labeling
     • Textual Entailment
     • Relation Extraction
     • Question Answering
   • Sentiment Analysis
   • Machine Translation
   • Named Entity Recognition
   • Natural Language Generation

2. Architectures

   • Recurrent Nets
     • LSTM
     • GRU
   • Conv Nets
   • Autoencoders

3. Data Representation

   • Embeddings
     • https://github.com/MaxwellRebo/awesome-2vec
     • Word Embeddings
     • Shared Embeddings

4. Useful Resources

   • Articles
     • http://colah.github.io/posts/2014-07-NLP-RNNs-Representations/ http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/
   • Papers
   • Tutorials
     • https://nlp.stanford.edu/courses/NAACL2013/
   • Datasets
     • https://github.com/niderhoff/nlp-datasets
   • Conferences
     • http://cs.rochester.edu/~omidb/nlpcalendar/

5. Tools & Frameworks

   • Pytorch
     • https://github.com/bharathgs/Awesome-pytorch-list
   • Tensorflow
     • https://github.com/jtoy/awesome-tensorflow
   • Keras
     • https://github.com/fchollet/keras-resources
   • Gensim
     • https://github.com/RaRe-Technologies/gensim/tree/develop/docs/notebooks

6. Use Cases

   • Event Detection
   • Location Extraction