Sebastian Kohlmeier

2018–2020

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

Papers from Sebastian Kohlmeier's perspective

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

  1. Long Short-Term Memory
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. GloVe: Global Vectors for Word Representation
  4. Natural Language Processing (Almost) from Scratch
  5. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  6. Character-level Convolutional Networks for Text Classification
  7. Scikit-learn: Machine Learning in Python
  8. Deep Unordered Composition Rivals Syntactic Methods for Text Classification
  9. Neural Architectures for Named Entity Recognition
  10. Frustratingly Easy Domain Adaptation

Their papers