Bonnie J. Dorr
Artificial Intelligence · 2000–2010
A researcher in the Science corpus: 9 papers; trusts 33 researchers and is trusted by 211 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 49 citations into it; #4,945 of 35,345 by trust here, #10,798 by citations
- Natural Language Processing — 39 citations into it; #472 of 5,688 by trust here, #745 by citations
- Evaluation & Benchmarks — 18 citations into it; #156 of 3,147 by trust here, #278 by citations
- Computer Vision and Pattern Recognition — 6 citations into it; #5,562 of 21,575 by trust here, #10,905 by citations
- Information Retrieval & Search — 6 citations into it
- Information Systems — 6 citations into it
Whom Bonnie J. Dorr trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael Collins
- Peter D. Turney
- Dekang Lin
- Regina Barzilay
- Peter F. Brown
- Satanjeev Banerjee
- Ani Nenkova
- Salim Roukos
- Scott Miller
- Philipp Koehn
Who trusts Bonnie J. Dorr overall
- Ondrej Bojar
- Yansong Feng
- Lucia Specia
- Katja Filippova
- Mirella Lapata
- Sebastian Gehrmann
- Carolina Scarton
- Rajen Chatterjee
- Chris Callison-Burch
- Daniel Beck
Papers from Bonnie J. Dorr's perspective
Ordered by how strongly the researchers Bonnie J. Dorr trusts endorse each paper. Same corpus, a different order for every researcher.
- Bleu: a Method for Automatic Evaluation of Machine Translation
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet classification with deep convolutional neural networks
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
Their papers
- Hedge Trimmer: A Parse-and-Trim Approach to Headline Generation (2003) — 289 citations
- Generating Phrasal and Sentential Paraphrases: A Survey of Data-Driven Methods (2010) — 316 citations
- Computing Word-Pair Antonymy (2008) — 109 citations
- The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics (2008) — 378 citations
- A Study of Translation Edit Rate with Targeted Human Annotation (2006) — 2,223 citations
- A STUDY OF TRANSLATION ERROR RATE WITH TARGETED HUMAN ANNOTATION (2005) — 1,657 citations
- A Methodology for Extrinsic Evaluation of Text Summarization: Does ROUGE Correlate? (2005) — 44 citations
- BBN/UMD at DUC-2004: Topiary (2004) — 101 citations
- Motivations (2000)