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Word Net is a widely used lexical knowledge for semantic information processing. Besides English, a lot of languages in the world have their own word nets. However building a new word net always takes tremendous manual labor. In this paper we present a strategy to automatically construct a word net for middle ancient Chinese (Mid acWordNet) which is mapped into the Princeton Word Net (PWN). For each...
Nowadays, cloud applications are developed in Platforms as a Service following the PaaS architecture imposed by several providers. We find in the literature some works describing frameworks and architectures for cloud software development, but there is a lack of a generic methodology which covers the whole application development lifecycle. Our work fits into the perspective of defining a generic...
K-12 teachers, especially the ones who teach reading and literacy, are expected to guide their students to read in order to learn. Teachers can promote good reading habits among K-12 readers by offering books that match their interests. Unfortunately, finding the right book for each individual or group of students is not an easy task due to the huge volume of books available these days that cover...
In a polarized society, rhetorical arguments are usually expressed by strong, extreme terms which by themselves carry a positive or negative sentiment about one side of the social debate or conflict. By detecting extreme terms in a social-political text such as a blog post, we are able to automatically detect the sentiment of the text about polarizing issues in a divided society. On the other hand,...
Topic modeling is a popular research topic and is widely used in text mining based applications. Many researchers realize that the learned topics in the LDA model, each as a multinomial distribution on the word vocabulary space, are often not intuitive in term of human recognition and communication. Based on our observation, given a topic, the most frequent words in it are usually less important than...
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