Pascal Wiggers

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pascal Wiggers trusts overall

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

  1. Xin Li
  2. Michael Collins
  3. Dekang Lin
  4. Chih-Jen Lin
  5. Daniel Klein

Papers from Pascal Wiggers's perspective

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

  1. Learning Question Classifiers
  2. Book Reviews: WordNet: An Electronic Lexical Database
  3. Head-Driven Statistical Models for Natural Language Parsing
  4. The Nature of Statistical Learning Theory
  5. LIBSVM: A library for support vector machines
  6. Accurate Unlexicalized Parsing
  7. Question classification using support vector machines (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
  8. Learning question classifiers: the role of semantic information
  9. Question Classification using Head Words and their Hypernyms
  10. From symbolic to sub-symbolic information in question classification

Their papers