M. Wang

Artificial Intelligence · with Glaser · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Wang trusts

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

  1. Peer C. Fiss (in Strategy and Management)
  2. Kathleen M. Eisenhardt (in Management Science and Operations Research)
  3. Laura K. Nelson (in Artificial Intelligence)

Papers from M. Wang's perspective

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

  1. Latent Dirichlet Allocation
  2. Finding scientific topics
  3. Foundations of Statistical Natural Language Processing
  4. The Author-Topic Model for Authors and Documents (Conference on Uncertainty in Artificial Intelligence)
  5. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
  6. Reading Tea Leaves: How Humans Interpret Topic Models
  7. Optimizing Semantic Coherence in Topic Models (Conference on Empirical Methods in Natural Language Processing)
  8. From Frequency to Meaning: Vector Space Models of Semantics
  9. Probabilistic topic models
  10. The Stanford CoreNLP Natural Language Processing Toolkit

Their papers