Identifying aspect-based opinions has been studied extensively in recent years. However, existing work primarily focused on adjective, adverb, and noun expressions. Clearly, verb ...
Huayi Li, Arjun Mukherjee, Jianfeng Si, Bing Liu 0...
Coalition formation is a fundamental problem in the organization of many multi-agent systems. In large populations, the formation of coalitions is often restricted by structural v...
The problem of unsupervised anomaly detection arises in a wide variety of practical applications. While one-class support vector machines have demonstrated their effectiveness as ...
Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan ...
This paper proposes a new approach to multi-object tracking by semantic topic discovery. We dynamically cluster frame-by-frame detections and treat objects as topics, allowing the...
While the Web of data is attracting increasing interest and rapidly growing in size, the major support of information on the surface Web are still multimedia documents. Semantic a...
Multi-document summarization is of great value to many real world applications since it can help people get the main ideas within a short time. In this paper, we tackle the proble...
Model counting is the problem of computing the number of models that satisfy a given propositional theory. It has recently been applied to solving inference tasks in probabilistic...
Rehan Abdul Aziz, Geoffrey Chu, Christian J. Muise...
Sentiment analysis predicts a one-dimensional quantity describing the positive or negative emotion of an author. Mood analysis extends the one-dimensional sentiment response to a ...
Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun P...
Discovery of communities in networks is a fundamental data analysis problem. Most of the existing approaches have focused on discovering communities of nodes, while recent studies...