Johanna D. Moore
Natural Language Processing · 1984–2014
A researcher in the Science corpus: 16 papers; trusts 12 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 18 citations into it; #3,016 of 5,688 by trust here, #3,977 by citations
- Artificial Intelligence — 15 citations into it; #19,950 of 35,345 by trust here, #21,316 by citations
- Language and Linguistics — 11 citations into it; #1,856 of 3,093 by trust here, #1,725 by citations
- Cognitive Neuroscience — 10 citations into it
- Experimental and Cognitive Psychology — 7 citations into it
- Developmental and Educational Psychology — 6 citations into it
Whom Johanna D. Moore trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- William R. Swartout
- Eduard H. Hovy
- Robert Neches
- William J. Clancey
- Jerry R. Hobbs
- Martin J. Pickering
- Benedikt Szmrecsanyi
- Sandra A. Thompson
- Mitchell P. Marcus
- Eugene Charniak
Who trusts Johanna D. Moore overall
- Shane T. Mueller
- Robert R. Hoffman
- Marilyn A. Walker
- Regina Barzilay
- Verena Rieser
- Giulia Vilone
- Tim Miller
- Bernard Moulin
- Wojciech Samek
- William R. Swartout
Papers from Johanna D. Moore's perspective
Ordered by how strongly the researchers Johanna D. Moore trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Alignment and task success in spoken dialogue (2014) — 165 citations
- Proceedings of the 32nd Annual Conference of the Cognitive Science Society (2010) — 197 citations
- Computational Modelling of Structural Priming in Dialogue (2006) — 111 citations
- Priming of Syntactic Rules in Task-Oriented Dialogue and Spontaneous Conversation (2006) — 138 citations
- Information Presentation in Spoken Dialogue Systems (2006) — 63 citations
- Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization (2005) — 565 citations
- Generation and evaluation of user tailored responses in multimodal dialogue (2004) — 129 citations
- A comparative evaluation of socratic versus didactic tutoring (2001) — 107 citations
- Planning Text for Advisory Dialogues: Capturing Intentional and Rhetorical Information (1993)
- Explanation in second generation expert systems (1993)
- A Reactive Approach to Explanation: Taking the User’s Feedback into Account (1991)
- Explanations in knowledge systems: design for explainable expert systems (1991)
- Pointing: A Way Toward Explanation Dialogue (1990)
- Explanation in Expert Systems : A Survey (1988)
- Explainable (and Maintainable) Expert Systems (1985)
- Enhanced Maintenance and Explanation of Expert Systems Through Explicit Models of Their Development (1984)