Chris Welty
Artificial Intelligence · 2000–2019
A researcher in the Science corpus: 10 papers; trusts 12 researchers and is trusted by 30 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 33 citations into it; #5,279 of 35,345 by trust here, #3,816 by citations
- Natural Language Processing — 17 citations into it
- Information Retrieval & Search — 7 citations into it; #950 of 1,022 by trust here, #886 by citations
- Computer Science Applications — 5 citations into it; #466 of 1,855 by trust here, #634 by citations
- Evaluation & Benchmarks — 5 citations into it; #2,118 of 3,147 by trust here, #756 by citations
- Knowledge Graphs & Representation — 5 citations into it
Whom Chris Welty trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nicola Guarino
- George A. Miller
- D. Lenat
- John McCarthy
- Evgeniy Gabrilovich
- Kira Radinsky
- Guy Halawi
- Mike D. Mintz
- Lora Aroyo
- Yuhua Li
Who trusts Chris Welty overall
- Nicola Guarino
- Aldo Gangemi
- Martin Hepp
- Pavel Shvaiko
- Samuel R. Bowman
- Alan L. Rector
- Sarah Wiegreffe
- Lora Aroyo
- Mariano Fernández-López
- Olivier Bodenreider
Papers from Chris Welty's perspective
Ordered by how strongly the researchers Chris Welty trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Efficient Estimation of Word Representations in Vector Space
- GloVe: Global Vectors for Word Representation
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- WordNet: A Lexical Database for English
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
Their papers
- Building Watson: An Overview of the DeepQA Project (2010) — 1,590 citations
- Metrology for AI: From Benchmarks to Instruments (2019) — 32 citations
- Truth Is a Lie: Crowd Truth and the Seven Myths of Human Annotation (2015) — 455 citations
- Finding needles in the haystack: Search and candidate generation (2012) — 69 citations
- Evaluating ontological decisions with OntoClean (2002) — 936 citations
- Supporting ontological analysis of taxonomic relationships (2001) — 445 citations
- A Formal Ontology of Properties (2000) — 474 citations
- An Overview of OntoClean (2004) — 663 citations
- Crowd Truth: Harnessing disagreement in crowdsourcing a relation extraction gold standard (2013) — 132 citations
- Owl web ontology language guide (2003) — 893 citations