Amanda Stent

Artificial Intelligence · 2001–2018

A researcher in the Science corpus: 12 papers; trusts 80 researchers and is trusted by 50 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it; #4,435 of 35,345 by trust here, #5,390 by citations
• Natural Language Processing — 32 citations into it; #1,205 of 5,688 by trust here, #1,558 by citations
• Computer Vision and Pattern Recognition — 23 citations into it; #13,914 of 21,575 by trust here, #12,419 by citations
• Evaluation & Benchmarks — 13 citations into it; #2,835 of 3,147 by trust here, #2,133 by citations
• Signal Processing — 9 citations into it; #4,680 of 7,572 by trust here, #3,198 by citations

Whom Amanda Stent trusts overall

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

1. Regina Barzilay
2. Michael Collins
3. Robert E. Schapire
4. K. McKeown
5. Ehud Reiter
6. Srinivas Bangalore
7. Mirella Lapata
8. T. Landauer
9. Chin-Yew Lin
10. Johanna D. Moore

Who trusts Amanda Stent overall

1. Ondrej Dusek
2. Verena Rieser
3. Marilyn A. Walker
4. Tsung-Hsien Wen
5. Jekaterina Novikova
6. Lena Reed
7. Shereen Oraby
8. Oliver Lemon
9. Amit Moryossef
10. Filip Jurcícek

Papers from Amanda Stent's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• TVSum: Summarizing web videos using titles (2015) — 773 citations
• A trainable generator for recommendations in multimodal dialog (2003) — 28 citations
• Evaluating Evaluation Methods for Generation in the Presence of Variation (2005) — 158 citations
• Trainable Sentence Planning for Complex Information Presentations in Spoken Dialog Systems (2004) — 170 citations
• The Role of Discourse Units in Near-Extractive Summarization (2016) — 64 citations
• Individual and Domain Adaptation in Sentence Planning for Dialogue (2007) — 165 citations
• An architecture for more realistic conversational systems (2001) — 334 citations
• Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers) (2018) — 75 citations
• The First Surface Realisation Shared Task: Overview and Evaluation Results (2011) — 109 citations
• Lexical and Syntactic Adaptation and Their Impact in Deployed Spoken Dialog Systems (2009) — 57 citations
• Generation and evaluation of user tailored responses in multimodal dialogue (2004) — 129 citations
• Toward Conversational Human-Computer Interaction (2001) — 384 citations