Dayne Freitag
Natural Language Processing · 2000
A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 16 citations into it
- Information Retrieval & Search — 8 citations into it; #804 of 1,022 by trust here, #436 by citations
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Dayne Freitag trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- Lawrence R. Rabiner
- George A. Miller
- Ryszard S. Michalski
- Peter Clark
- Ellen Riloff
- R. Rivest
- Robert Craig Holte
- David D. Lewis
- R. Rosenfeld
Who trusts Dayne Freitag overall
- Charles Sutton
- Andrew McCallum
- Dan Roth
- Max Welling
- Michele Banko
- Veselin Stoyanov
- Jason Eisner
- Wen-tau Yih
- Jenny Rose Finkel
- Fei Sha
Papers from Dayne Freitag's perspective
Ordered by how strongly the researchers Dayne Freitag trusts endorse each paper. Same corpus, a different order for every researcher.
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- A tutorial on hidden Markov models and selected applications in speech recognition
- WordNet: A Lexical Database for English
- Attention is All you Need (Neural Information Processing Systems)
- Information Theory: 1948-1998 - Guest Editorial
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- C4.5: Programs for Machine Learning
- ImageNet classification with deep convolutional neural networks
- Fundamentals of speech recognition
Their papers
- Learning to construct knowledge bases from the World Wide Web (2000) — 560 citations
- Machine Learning for Information Extraction in Informal Domains (2000) — 401 citations
- Bridging the lexical chasm: statistical approaches to answer-finding (2000) — 361 citations
- Information Extraction with HMM Structures Learned by Stochastic Optimization (2000) — 317 citations
- Maximum Entropy Markov Models for Information Extraction and Segmentation (2000) — 1,657 citations