William Murnane
Mturk@HLT-NAACL · 2010
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
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Papers from William Murnane's perspective
Ordered by how strongly the researchers William Murnane trusts endorse each paper. Same corpus, a different order for every researcher.
- Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling
- Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
- The Anatomy of a Large-Scale Hypertextual Web Search Engine
- Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon’s Mechanical Turk
- Relevance feedback in information retrieval
- Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
- Generating Typed Dependency Parses from Phrase Structure Parses
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Maximum Entropy Markov Models for Information Extraction and Segmentation (International Conference on Machine Learning)
- Optimization by Simulated Annealing
Their papers
- Annotating Named Entities in Twitter Data with Crowdsourcing (2010) — 356 citations