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今年読んだおすすめの論文10本(15本)

  1. What Kinds of Knowledge are Needed for Genuine Understanding?
  2. Where are they looking?
  3. Describing Images using Inferred Visual Dependency Representations
  4. A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
  5. Reasoning in Vector Space: An Exploratory Study of Question Answering
  6. Towards an integration of deep learning and neuroscience
  7. My Computer is an Honor Student - but how Intelligent is it? Standardized Tests as a Measure of AI
  8. Combining Natural Logic and Shallow Reasoning for Question Answering
  9. The LAMBADA dataset: Word prediction requiring a broad discourse context
  10. "Ask not what Textual Entailment can do for You..."
  11. Comparing Computational Cognitive Models of Generalization in a Language Acquisition Task
  12. Degeneracy results in canalisation of language structure: A computational model of word learning
  13. A Unified Theory of Inference for Text Understanding
  14. Toward a Comprehensive Model of Comprehension
  15. Prerequisite Skills for Reading Comprehension: Multi-perspective Analysis of MCTest Datasets and Systems