Search engines present fix-length passages from documents ranked by relevance against the query. In this paper, we present and compare novel, language-model based methods for extr...
In this paper, we present a system developed for content-based broadcasted news video browsing for home users. There are three main factors that distinguish our work from other si...
Unit selection text-to-speech systems currently produce very natural synthesized phrases by concatenating speech segments from a large database. Recently, increasing demand for de...
Kernel-based learning (e.g., Support Vector Machines) has been successfully applied to many hard problems in Natural Language Processing (NLP). In NLP, although feature combinatio...
Abstract. Success in the life sciences depends on access to information in knowledge bases and literature. Finding and extracting the relevant information depends on a user's ...
Christopher J. O. Baker, Patrick Lambrix, Jonas La...