Thomas Strohmann

Artificial Intelligence · 2014–2025

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

Subfields

Whom Thomas Strohmann trusts

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

  1. Fabian M. Suchanek (in Artificial Intelligence)

Who trusts Thomas Strohmann

  1. Bilal Abu-Salih (in Artificial Intelligence)
  2. Xinyi Zhou (in Artificial Intelligence)
  3. Heiko Paulheim (in Artificial Intelligence)
  4. Sarasi Lalithsena (in Artificial Intelligence)

Papers from Thomas Strohmann's perspective

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

  1. Efficient Estimation of Word Representations in Vector Space
  2. Freebase: a collaboratively created graph database for structuring human knowledge
  3. Toward an Architecture for Never-Ending Language Learning
  4. YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia
  5. Factorizing YAGO: scalable machine learning for linked data
  6. Reasoning With Neural Tensor Networks for Knowledge Base Completion
  7. Distant supervision for relation extraction without labeled data
  8. YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: Extended Abstract
  9. Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
  10. A latent factor model for highly multi-relational data

Their papers