Collaborative learning in computer-supported learning environments typically means that learners work on tasks together, discussing their individual perspectives via text-based media or videoconferencing, and consequently acquire knowledge. Collaborative learning, however, is often sub-optimal with respect to how learners work on the concepts that are supposed to be learned and how learners int...

Unlike text on paper, hypertext enables the linking of pieces of text with other texts and multimedia resources, which not only improves the way we read but also lays the foundation for new information systems. Specifically, the proliferation of collaborative sites, blogs, online databases, encyclopedias and many other services on the World Wide Web provides an invaluable source of up-to-date i...

Recommender systems were developed to cherry-pick interesting content in an always growing environment to help users discover new products or information that they might like. Traditional collaborative filtering methods mainly focus on the ratings to establish user profiles, ignoring the joint review text. Our work does the opposite. We use the written comments as the primary source of informat...

Text information, which plays important role in news video concept detection, has been ignored in state-of-the-art movie analysis technology. It is so because movie subtitles are speech of roles which do not directly describe content of movie and contributes little to movie analysis. In this paper, we import collaborative-editing synopsis from professional movie sites for movie analysis, which ...

Process and outcome of a net-based collaboration between experts from different fields (advanced medical and psychology students) were analyzed. Confronted with a psychiatric case study, dyads were asked to jointly formulate a therapy plan using their complementary expertise. The goal of the study was to investigate the effects of technical realizations of a net-based collaboration on the colla...

recommender systems (rs) provide personalized recommendation according to user need by analyzing behavior of users and gathering their information. one of the algorithms used in recommender systems is user-based collaborative filtering (cf) method. the idea is that if users have similar preferences in the past, they will probably have similar preferences in the future. the important part of col...

Clustering is an extensively studied data mining problem in the text domains. The difficulty finds numerous applications in customer segmentation, classification, collaborative filtering, visualization, document organization, and indexing. In text mining, clustering the sentence is one of the processes and used within general text mining tasks. Several clustering methods and algorithms are used...

Speech Improved Syllable-Based Text to Speech Synthesis for Tone Language Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Moses Ekpenyong, EmemObong Udoh, Escor Udosen, and Eno-Abasi Urua Slovak Automatic Dictation System for Judicial Domain. . . . . . . . . . . . . . . 16 Milan Rusko, Jozef Juhár, Marián Trnka, Ján Staš, Sakhia Darjaa...

Finding relationships between words in text and articles from Wikipedia is an extremely popular task known as wikification. However there is still no gold standard corpus for wikifiers comparison. We present WikifyMe, the online tool for collaborative work on universal test collection which allows users to easily prepare tests for two most difficult problems in wikification: word-sense disambig...