A simple trained basis-vector metric achieves 66.14% average accuracy on MIT-States noun-adjective classification, 0.91 points above Naive Bayes, but fails to beat logistic regression on adjective disambiguation.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Basis Vector Metric: A Method for Robust Open-Ended State Change Detection
A simple trained basis-vector metric achieves 66.14% average accuracy on MIT-States noun-adjective classification, 0.91 points above Naive Bayes, but fails to beat logistic regression on adjective disambiguation.