Traditional text categorization is usually a topic-based task, but a subtle demand on information retrieval is to distinguish between positive and negative view on text topic. In t...
Yi Hu, Jianyong Duan, Xiaoming Chen, Bingzhen Pei,...
Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in t...
Abstract. We use case injected genetic algorithms to learn to competently play computer strategy games. Such games are characterized by player decision in anticipation of opponent ...
The need for organizational learning support is common among all software development companies but is not addressed by agile software methods practitioners. The typical Experience...
Abstract. This paper describes two approaches to integrating standalone information processing techniques into a semantic application capable of acquiring and maintaining knowledge...