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  1. Optimization for Deep Learning Highlights in 2017 deep learning optimization
  2. Word embeddings in 2017: Trends and future directions word embeddings natural language processing nlp
  3. Multi-Task Learning Objectives for Natural Language Processing natural language processing nlp multi-task learning
  4. Highlights of EMNLP 2017: Exciting datasets, return of the clusters, and more nlp natural language processing word embeddings
  5. Learning to select data for transfer learning natural language processing nlp transfer learning