Brad Huang

Natural Language Processing · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Brad Huang trusts

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

  1. Michael Collins (in Artificial Intelligence)
  2. Dan Roth (in Natural Language Processing)
  3. Dekang Lin (in Natural Language Processing)
  4. Beth Levin (in Linguistics)
  5. Wen-tau Yih (in Natural Language Processing)

Papers from Brad Huang's perspective

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

  1. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms
  2. Semantic Parsing on Freebase from Question-Answer Pairs
  3. Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars
  4. The Stanford CoreNLP Natural Language Processing Toolkit
  5. Driving Semantic Parsing from the World’s Response
  6. Toward an Architecture for Never-Ending Language Learning
  7. Learning for Semantic Parsing with Statistical Machine Translation
  8. English Verb Classes and Alternations: A Preliminary Investigation
  9. The Proposition Bank: An Annotated Corpus of Semantic Roles
  10. MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text

Their papers