Recent years have seen increasing attention in temporal processing of texts as well as a lot of standardization effort of temporal information in natural language. A central part ...
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Effective use of the vast quantity of information now available on the web will require the use of “Semantic Web” markup languages such as the DARPA Agent Markup Language (DAML...
Filip Perich, Lalana Kagal, Harry Chen, Sovrin Tol...
Effective use of the vast quantity of information now available on the web will require the use of “Semantic Web” markup languages such as the DARPA Agent Markup Language (DAML...
R. Scott Cost, Timothy W. Finin, Anupam Joshi, Yun...
Although adequate models of human language for syntactic analysis and semantic interpretation are of at least contextfree complexity, for applications such as speech processing in...