This paper presents a method for unsupervised discovery of semantic patterns. Semantic patterns are useful for a variety of text understanding tasks, in particular for locating ev...
Abstract. The use of spreadsheets to capture information is widespread in industry. Spreadsheets can thus be a wealthy source of domain information. We propose to automatically ext...
Felienne Hermans, Martin Pinzger, Arie van Deursen
Rapid growth of digital data collections is overwhelming the capabilities of humans to comprehend them without aid. The extraction of useful data from large raw data sets is someth...
E-Discovery is the process of discovering electronically stored information such as email that is relevant to a legal case. A typical ediscovery process incurs huge costs due to t...
Prasad M. Deshpande, Thomas Hampp, Manjula Hosurma...
This paper presents a novel sequence labeling model based on the latent-variable semiMarkov conditional random fields for jointly extracting argument roles of events from texts. ...