Extracting automatically the semantics from visual data is a real challenge. We describe in this paper how recent work in cognitive vision leads to significative results in activi...
In this paper we investigate the coverage of the two knowledge sources WordNet and Wikipedia for the task of bridging resolution. We report on an annotation experiment which yield...
Mark-Christoph Mueller, Margot Mieskes, Michael St...
We present a supervised machine learning algorithm for metonymy resolution, which exploits the similarity between examples of conventional metonymy. We show that syntactic head-mo...
We present some of the technology developed at StreamSage for indexing and retrieving audio/video data. A primary difficulty of this task is precise extraction of the passages rel...
Anthony Davis, Philip Rennert, Robert Rubinoff, Ti...
We present a corpus{based approach to word{sense disambiguation that only requires information that can be automatically extracted from untagged text. We use unsupervised techniqu...