We are presenting a text analysis tool set that allows analysts in various fields to sieve through large collections of multilingual news items quickly and to find information that...
In this paper, we present a multimodal parallel text-image corpus, and propose an image annotation method that exploits the textual information associated with images. Our corpus ...
— While Internet has enabled us to access a vast amount of online news articles originating from thousands of different sources, the human capability to read all these articles h...
Milos Krstajic, Florian Mansmann, Andreas Stoffel,...
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Knowledge harvesting enables the automated construction of large knowledge bases. In this work, we made a first attempt to harvest spatio-temporal knowledge from news archives to...
Yafang Wang, Bin Yang 0002, Spyros Zoupanos, Marc ...