John Williams

Annual Meeting of the Association for Computational Linguistics · with Aarseth · 2003

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom John Williams trusts overall

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

  1. Daniel Gildea
  2. Michael Collins
  3. J. Ross Quinlan

Who trusts John Williams overall

  1. Xavier Carreras
  2. Lluís Màrquez i Villodre

Papers from John Williams's perspective

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

  1. Three Generative, Lexicalised Models for Statistical Parsing
  2. English Verb Classes and Alternations: A Preliminary Investigation
  3. Automatic Labeling of Semantic Roles
  4. The Necessity of Parsing for Predicate Argument Recognition
  5. Data Mining Tools See5 and C5.0
  6. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  7. Long Short-Term Memory
  8. Head-Driven Statistical Models for Natural Language Parsing
  9. Building a Large Annotated Corpus of English: The Penn Treebank
  10. Bleu: a Method for Automatic Evaluation of Machine Translation

Their papers