pdturney/jair-datasets

This repository contains the datasets used in the papers "Domain and Function", "The Latent Relation Mapping Engine", and "Cost-Sensitive Classification", in JAIR.

Datasets from the Journal of Artificial Intelligence Research

Peter Turney

December 4, 2019

This repository contains the datasets used in the following three papers in the Journal of Artificial Intelligence Research (https://www.jair.org/):

(1) Turney, P.D. (2012), Domain and function: A dual-space model of semantic relations and compositions, Journal of Artificial Intelligence Research (JAIR), 44, 533-585.

• domain-and-function-dual-space.pdf (paper)
• noun-modifier-compositions.txt (dataset)

(2) Turney, P.D. (2008), The latent relation mapping engine: Algorithm and experiments, Journal of Artificial Intelligence Research (JAIR), 33, 615-655.

• latent-relation-mapping-engine.pdf (paper)
• systematic-analogies.txt (dataset)

(3) Turney, P.D. (1995), Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm, Journal of Artificial Intelligence Research (JAIR), 2, March, 369-409.

• cost-sensitive-classification.pdf (paper)
• types-of-cost.pdf (background information on costs)
• cost-sensitive-datasets.txt (pointers to datasets and software)