Recently, open-domain dialogue systems have attracted growing attention. Most of them use the sequence-to-sequence (Seq2Seq) architecture to generate responses. However, traditional Seq2Seq-based models tend generic and safe responses, which are less informative, unlike human In this paper, we propose a simple but effective Keywords-guided Sequence-to-sequence model (KW-Seq2Seq) uses keywords i...

Abstract With the increasing of requirements from many aspects, various queries and analyses arise focusing on social network. Time is a common necessary dimension in types networks. Social networks with time information are called temporal networks, which can be when user sends message to another user. Keywords search consists finding relationships between group users that has set query labels...

Text analysis methods for the automatic identification of emerging technologies by analyzing the scientific publications, are gaining attention because of their socio-economic impact. The approaches so far have been mainly focused on retrospective analysis by mapping scientific topic evolution over time. We propose regression based approaches to predict future keyword distribution. The predicti...

This paper proposes a method of using ontology hierarchy in automatic topic identification. The fundamental idea behind this work is to exploit an ontology hierarchical structure in order to find a topic of a text. The keywords which are extracted from a given text will be mapped onto their corresponding concepts in the ontology. By optimizing the corresponding concepts, we will pick a single n...

Security testing of software systems such as mobile applications, web applications, computer applications and server applications has become an essential activity. As the area of software security testing (SST) has matured and the number of studies has increased, systematically categorizing the current state-of-the-art is important. In this paper, we classify the established knowledge in this a...