Abstract. In this paper we are dealing with the task of adding domainspecific semantic tags to a document, based solely on the domain ontology and generic lexical and Web resource...
Elias Zavitsanos, George Tsatsaronis, Iraklis Varl...
The highly variable and dynamic word usage in social media presents serious challenges for both research and those commercial applications that are geared towards blogs or other u...
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
We propose an integrated approach to interactive word-completion for users with linguistic disabilities in which semantic knowledge combines with n-gram probabilities to predict s...
It is difficult to identify sentence importance from a single point of view. In this paper, we propose a learning-based approach to combine various sentence features. They are cat...