Corpus-based methods for natural language processing often use supervised training, requiring expensive manual annotation of training corpora. This paper investigates methods for ...
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Abstract. In this paper, a Fuzzy Dominant Texture Descriptor is proposed for semantically describing an image. This fuzzy descriptor is defined over a set of fuzzy sets modelling ...
Entity Recognition (ER) is a key component of relation extraction systems and many other natural-language processing applications. Unfortunately, most ER systems are restricted to...
While the Semantic Web is rapidly filling up, appropriate tools for searching it are still at infancy. In this paper we describe an approach that allows humans to access informatio...