Günes Erkan
Molecular Biology · 2004–2008
A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 124 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 16 citations into it; #218 of 17,773 by trust here, #4,339 by citations
- Natural Language Processing — 16 citations into it; #517 of 5,688 by trust here, #1,611 by citations
- Artificial Intelligence — 14 citations into it; #1,984 of 35,345 by trust here, #6,956 by citations
- Information Retrieval & Search — 8 citations into it
Whom Günes Erkan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Spärck Jones
- Kevin Knight
- Rada Mihalcea
- Dragomir R. Radev
- David Yarowsky
- Jade Goldstein-Stewart
- Michael Collins
- Daniel Marcu
- Paul Tarau
- H. P. Edmundson
Who trusts Günes Erkan overall
- Xiaojun Wan
- Ani Nenkova
- Dragomir R. Radev
- Mirella Lapata
- Ramiz M. Aliguliyev
- Alexios Gidiotis
- Vahed Qazvinian
- Rada Mihalcea
- François Rousseau
- Reinald Kim Amplayo
Papers from Günes Erkan's perspective
Ordered by how strongly the researchers Günes Erkan trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- LexRank: Graph-based Lexical Centrality as Salience in Text Summarization (2004) — 3,275 citations
- Identifying gene-disease associations using centrality on a literature mined gene-interaction network (2008) — 386 citations
- LexRank: Graph-based Centrality as Salience in Text Summarization (2004) — 317 citations
- LexPageRank: Prestige in Multi-Document Text Summarization (2004) — 340 citations