Tao Chen

Natural Language Processing · with Li · 2019

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

Subfields

Whom Tao Chen trusts

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

  1. Luke S. Zettlemoyer (in Natural Language Processing)

Papers from Tao Chen's perspective

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

  1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. GloVe: Global Vectors for Word Representation
  4. Bleu: a Method for Automatic Evaluation of Machine Translation
  5. Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions
  6. Get To The Point: Summarization with Pointer-Generator Networks
  7. Learning to Parse Database Queries Using Inductive Logic Programming
  8. Deep Reinforcement Learning for Dialogue Generation
  9. Semantic Parsing via Paraphrasing
  10. Compositional Semantic Parsing on Semi-Structured Tables

Their papers