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...

Sentiment Analysis deals with consumer reviews available on blogs, discussion forums, E-commerce websites, and App Store. These online about products are also becoming essential for consumers companies as well. Consumers rely these to make their decisions very interested in judge services. a precious source of information requirement engineers. But not satisfied the overall sentiment; they like...

Manually assigned keywords provide a valuable means for accessing large document collections. They can serve as a shallow document summary and enable more efficient retrieval and aggregation of information. In this paper we investigate keywords in the context of the Dutch Folktale Database, a large collection of stories including fairy tales, jokes and urban legends. We carry out a quantitative...

Computer programming today is far too dependent on one particular natural language, namely English. Mathematics is not dependent on English, and programming should not be, either. In order to eliminate the dependence of programming on English, we have constructed a programming language in which the keywords are replaced by symbols available on standard keyboards. Each of these symbols is chosen...