The goal of text-to-text generation is to make machines express like a human in many applications such as conversation, summarization, and translation. It one the most important yet challenging tasks natural language processing (NLP). Various neural encoder-decoder models have been proposed achieve by learning map input text output text. However, alone often provides limited knowledge generate ...

As the Internet is becoming the main point for information access, Libraries, Museums and similar Institutions are preserving their collections as digital object repositories. In that way, the important information associated with digital objects may be delivered as Internet content over portals equipped with modern interfaces and navigation features. This enables the virtualization of real inf...

Knowledge generation can be naturalized by adopting computational model of cognition and evolutionary approach. In this framework knowledge is seen as a result of the structuring of input data (data → information → knowledge) by an interactive computational process going on in the agent during the adaptive interplay with the environment, which clearly presents developmental advantage by increas...

The development and investigation of medical applications require patient data from various Electronic Health Records (EHRs) or Clinical Records (CRs). However, in practice, patient data is and should be protected to avoid unauthorized access or publicity, because of many reasons including privacy, security, ethics, and confidentiality. Thus, many researchers and developers encounter the proble...