Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
We present a tool for commonsense reasoning in the classical logic event calculus using satisfiability. We describe the tool, which takes event calculus reasoning problems as inpu...
We show how quantified constraints expressed in a sub-language of first-order logic, againstashareddatamodelthatisfreetoevolve, provideanexcellentwayof transporting domain-specific...
Kit-ying Hui, Peter M. D. Gray, Graham J. L. Kemp,...
We revise the classic methodology to find the multi-product break-even point. In the current paper we propose a solution to the problem under uncertainty conditions, based on DurÃ...
We logically model uncertainty by expanding language without changing logical reasoning rules. We expand the language of set theory by adding new predicate symbols, uncertain membe...