This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
This paper presents the Kachna Corpus of Spontaneous Speech, in which ten Czech and ten Norwegian speakers were recorded both in their native language and in English. The dialogue...
DIGMAP is a project focused on historical digitized maps that will develop a set of Internet services based on reusable open-source software solutions. The main service will provi...
Abstract. This paper describes recent approaches using text-mining to automatically profile and extract arguments from legal cases. We outline some of the background context and mo...
Adam Wyner, Raquel Mochales Palau, Marie-Francine ...