Paola Velardi

Artificial Intelligence · 2003–2005

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Paola Velardi trusts overall

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

  1. Roberto Navigli
  2. Philip Resnik
  3. Bernardo Magnini
  4. Kenneth Ward Church
  5. Eneko Agirre
  6. Dekang Lin
  7. D. Lenat
  8. Gabriela Maria Chiara Cavaglia
  9. Alexander Maedche
  10. Patrick Hanks

Who trusts Paola Velardi overall

  1. Roberto Navigli
  2. Mirella Lapata
  3. Shangfeng Hu
  4. Eneko Agirre
  5. Dr. Hiteshwar Kumar Azad
  6. Nadia Burkart
  7. Antonio De Nicola
  8. Christopher Arthur Brewster
  9. Rada Mihalcea
  10. Simone Paolo Ponzetto

Papers from Paola Velardi's perspective

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

  1. Ontology Learning for the Semantic Web
  2. Using Information Content to Evaluate Semantic Similarity in a Taxonomy
  3. Automatic Labeling of Semantic Roles
  4. Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites (International Conference on Computational Logic)
  5. Evaluating ontological decisions with OntoClean (CACM)
  6. Word Association Norms, Mutual Information, and Lexicography
  7. Ontology Learning and Its Application to Automated Terminology Translation (IEEE Intelligent Systems)
  8. Finding Predominant Word Senses in Untagged Text (Annual Meeting of the Association for Computational Linguistics)
  9. GloVe: Global Vectors for Word Representation
  10. Efficient Estimation of Word Representations in Vector Space

Their papers