Pei-Chun Chen

Natural Language Processing · with Berant · 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 Pei-Chun Chen trusts overall

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

  1. Michael Collins
  2. Dekang Lin
  3. Dan Roth
  4. Beth Levin

Papers from Pei-Chun Chen's perspective

Ordered by how strongly the researchers Pei-Chun Chen 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. The Stanford CoreNLP Natural Language Processing Toolkit
  4. Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars
  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. MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text
  9. English Verb Classes and Alternations: A Preliminary Investigation
  10. The Proposition Bank: An Annotated Corpus of Semantic Roles

Their papers