Renfen Hu

Natural Language Processing · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Renfen Hu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Omer Levy
  2. Tomas Mikolov

Papers from Renfen Hu's perspective

Ordered by how strongly the researchers Renfen Hu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Enriching Word Vectors with Subword Information
  2. Linguistic Regularities in Continuous Space Word Representations
  3. Improving Distributional Similarity with Lessons Learned from Word Embeddings
  4. Neural Word Embedding as Implicit Matrix Factorization
  5. Linguistic Regularities in Sparse and Explicit Word Representations
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn’t.
  8. Long Short-Term Memory
  9. ImageNet classification with deep convolutional neural networks
  10. Joint Learning of Character and Word Embeddings

Their papers