John McNaught
Artificial Intelligence · 2005–2015
A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it; #21,963 of 35,345 by trust here, #18,586 by citations
- Molecular Biology — 26 citations into it; #8,523 of 17,773 by trust here, #9,136 by citations
- Statistics and Probability — 9 citations into it
- Natural Language Processing — 8 citations into it
Whom John McNaught trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts John McNaught overall
Papers from John McNaught's perspective
Ordered by how strongly the researchers John McNaught trusts endorse each paper. Same corpus, a different order for every researcher.
- Building a Large Annotated Corpus of English: The Penn Treebank
- A Maximum Entropy Model for Part-Of-Speech Tagging
- Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms
- Gene Ontology: tool for the unification of biology
- Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network
- The GENIA corpus: an annotated research abstract corpus in molecular biology domain
- Chunking with Support Vector Machines
- The Constrained Weight Space SVM: Learning with Ranked Features
- TnT – A Statistical Part-of-Speech Tagger (Applied Natural Language Processing Conference)
- Automated extraction of information on protein-protein interactions from the biological literature (Bioinform.)
Their papers
- Developing a Robust Part-of-Speech Tagger for Biomedical Text (2005) — 536 citations
- Construction of an annotated corpus to support biomedical information extraction (2009) — 138 citations
- Text mining and ontologies in biomedicine: Making sense of raw text (2005) — 339 citations
- Using text mining for study identification in systematic reviews: a systematic review of current approaches (2015) — 672 citations