Michael Mohler

Artificial Intelligence · 2009–2011

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #28,754 of 35,345 by trust here, #33,294 by citations
• Natural Language Processing — 9 citations into it

Whom Michael Mohler trusts overall

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

1. Rada Mihalcea
2. Dekang Lin
3. Ted Pedersen
4. Philip Resnik
5. Siddharth Patwardhan
6. Evgeniy Gabrilovich
7. Michael Collins
8. Zhibiao Wu
9. T. Landauer
10. Yoav Freund

Who trusts Michael Mohler overall

1. Steven Burrows
2. Iryna Gurevych
3. Dadi Ramesh
4. Razvan C. Bunescu
5. Benno Stein
6. Rada Mihalcea

Papers from Michael Mohler's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Building a Large Annotated Corpus of English: The Penn Treebank
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Bleu: a Method for Automatic Evaluation of Machine Translation
10. Efficient Estimation of Word Representations in Vector Space

Their papers

• Learning to Grade Short Answer Questions using Semantic Similarity Measures and Dependency Graph Alignments (2011) — 327 citations
• Text-to-Text Semantic Similarity for Automatic Short Answer Grading (2009) — 353 citations