A curated list of resources dedicated to Natural Language Processing
Maintainers - Keon Kim
- word2vec - on creating vectors to represent language, useful for RNN inputs
- sense2vec - on word sense disambiguation
- Infinite Dimensional Word Embeddings - new
- Skip Thought Vectors - word representation method
- Adaptive skip-gram - similar approach, with adaptive properties
- Neural autocoder for paragraphs and documents - LTSM representation
- LTSM over tree structures
- Sequence to Sequence Learning - word vectors for machine translation
- Teaching Machines to Read and Comprehend - DeepMind paper
part of the lists are from ai-reading-list