Michael Laver

Artificial Intelligence · 2005–2016

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Economics and Econometrics — 8 citations into it
• Political Science and International Relations — 7 citations into it; #825 of 4,701 by trust here, #2,028 by citations
• Evaluation & Benchmarks — 5 citations into it
• Sociology and Political Science — 5 citations into it; #7,697 of 22,756 by trust here, #18,468 by citations
• Statistics and Probability — 5 citations into it

Whom Michael Laver trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Martin A. Nowak
2. Karl Sigmund
3. Raymond J. Carroll
4. Jerry A. Hausman
5. Jean-Paul Fox
6. Dan Jurafsky
7. Lloyd S. Shapley
8. Ross Cressman
9. Norman Schofield
10. Peter Welinder

Who trusts Michael Laver overall

1. R. Dalton
2. L. Ezrow
3. Herbert Kitschelt
4. James Adams
5. Justin Grimmer
6. Ian McAllister
7. Christoph Knill
8. M. Debus
9. H. Bäck
10. Leonardo Baccini

Papers from Michael Laver's perspective

Ordered by how strongly the researchers Michael Laver trusts endorse each paper. Same corpus, a different order for every researcher.

1. Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
2. Get another label? improving data quality and data mining using multiple, noisy labelers
3. The Multidimensional Wisdom of Crowds
4. Measurement error in nonlinear models: a modern perspective
5. crowdsourcing : rating annotators and obtaining cost-effective labels
6. Running experiments on Amazon Mechanical Turk
7. Conducting behavioral research on Amazon’s Mechanical Turk
8. Book Reviews: Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
9. Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise (Neural Information Processing Systems)
10. Bootstrap Methods: Another Look at the Jackknife

Their papers

• Policy and the Dynamics of Political Competition (2005) — 262 citations
• Crowd-sourced Text Analysis: Reproducible and Agile Production of Political Data (2016)
• The basic arithmetic of legislative decisions (2015) — 49 citations
• Treating Words as Data with Error: Uncertainty in Text Statements of Policy Positions (2009) — 343 citations