2009/03/01 by Alon Halevy, Peter Norvig, Fernando Pereira · 4 citations
Computer Science · Decision Sciences · #Semantic Web and Ontologies #Data Quality and Management #Topic Modeling
paper · doi:10.1109/mis.2009.36
openalex publication_date 2009/03/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04
Problems that involve interacting with humans, such as natural language understanding, have not proven to be solvable by concise, neat formulas like F = ma. Instead, the best approach appears to be to embrace the complexity of the domain and address it by harnessing the power of data: if other humans engage in the tasks and generate large amounts of unlabeled, noisy data, new algorithms can be used to build high-quality models from the data.