A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
Analyzing data obtained from web server logs, so-called “clickstreams”, is rapidly becoming one of the most important activities for companies in any sector as most businesses...
Jesper Andersen, Anders Giversen, Allan H. Jensen,...
We propose a method for discovering the dependency relationships between the topics of documents shared in social networks using the latent social interactions, attempting to answ...
Temporal expressions in texts contain significant temporal information. Understanding temporal information is very useful in many NLP applications, such as information extraction,...
For modeling the interpretation process of NL sentences we use the mechanisms implying semantic networks that assure syntactic – semantic text interpretation (SSI), including an...