Most sentiment analysis approaches use as baseline a support vector machines (SVM) classifier with binary unigram weights. In this paper, we explore whether more sophisticated fea...
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Abstract. Cryptographic transactions form the basis of many common security systems found throughout computer networks. Supporting these transactions with biometrics is very desira...
This paper presents a nativeness classifier for English. The detector was developed and tested with TED Talks collected from the web, where the major non-native cues are in terms...
Artificial Intelligence has contributed (formal) design models and software support tools to application areas such as architecture, engineering and software design. This paper exp...