Jeremiah Crim

2003

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

Whom Jeremiah Crim trusts

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

  1. Michael Collins (in Natural Language Processing)

Who trusts Jeremiah Crim

  1. Barbara Plank (in Artificial Intelligence)

Papers from Jeremiah Crim's perspective

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

  1. Building a Large Annotated Corpus of English: The Penn Treebank
  2. Head-Driven Statistical Models for Natural Language Parsing
  3. A Maximum-Entropy-Inspired Parser
  4. Improving Generalization with Active Learning
  5. Enhancing Supervised Learning with Unlabeled Data (International Conference on Machine Learning)
  6. PAC Generalization Bounds for Co-training (Neural Information Processing Systems)
  7. Limitations of Co-Training for Natural Language Learning from Large Datasets
  8. Bootstrapping
  9. A decision-theoretic generalization of on-line learning and an application to boosting
  10. Three Generative, Lexicalised Models for Statistical Parsing

Their papers