Data Statements for NLP
Key Idea: What are Data Statement for NLP?
Data Statements for Natural Language Processing (NLP) are documented characterizations of a dataset that offer context to better understand generalizability of experimental NLP results, appropriate deployment of software, and what biases might be present in systems built on the software.
Read: The Concept Paper
Read the Data Statements for NLP concept paper written by Emily Bender and Batya Friedman.
Cite as: Bender EM, Friedman B. Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science. TACL. 2018;6:587-604. doi:10.1162/tacl_a_00041
Explore: Data Statements for NLP Reading Summary
Review the summary and pay particular attention to the condensed data statement schema and provided definitions.
Cite as: Scheuerman MK. Summary of Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science. Morgan Klaus.