Andreas Both
Web Search and Data Mining · 2014–2015
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Whom Andreas Both trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Andreas Both overall
Papers from Andreas Both's perspective
Ordered by how strongly the researchers Andreas Both trusts endorse each paper. Same corpus, a different order for every researcher.
- Latent Dirichlet Allocation
- Reading Tea Leaves: How Humans Interpret Topic Models
- Optimizing Semantic Coherence in Topic Models (Conference on Empirical Methods in Natural Language Processing)
- Automatic Evaluation of Topic Coherence (North American Chapter of the Association for Computational Linguistics)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Normalized (pointwise) mutual information in collocation extraction
- Attention is All you Need (Neural Information Processing Systems)
- Evaluating Topic Coherence Using Distributional Semantics (International Conference on Computational Semantics)
- Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- N³ - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format (2014) — 94 citations
- Exploring the Space of Topic Coherence Measures (2015) — 2,293 citations