We describe an entirely statistics-based, unsupervised, and languageindependent approach to multilingual information retrieval, which we call Latent Morpho-Semantic Analysis (LMSA...
: Most information in Hospitals is still only available in text format and the amount of this data is immensely increasing. Consequently, text mining is an essential area of medica...
Andreas Holzinger, Regina Geierhofer, Felix Mö...
Integrating enterprise information requires an accurate, precise and complete understanding of the disparate data sources, the needs of the information consumers, and how these ma...
This paper presents research on the application of the means-end chain (MEC) framework for investigating customers cognitive structure regarding community applications. It is argu...
This paper presents a semantic labeling technique based on information encoded in FrameNet. Sentences labeled for frames relevant to any new Information Extraction domain enable t...
Alessandro Moschitti, Paul Morarescu, Sanda M. Har...