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Microposts are small fragments of social media content and a popular medium for sharing facts, opinions and emotions. Collectively, they comprise a wealth of data that is increasing exponentially, and which therefore presents new challenges for the Information Extraction community, among others. This paper describes the Making Sense of Microposts(More)
Enterprise content analysis and platform configuration for enterprise content management is often carried out by external consultants that are not necessarily domain experts. In this paper, we propose a set of methods for automatic content analysis that allow users to gain a high level view of the enterprise content. Here, a main concern is the automatic(More)
The Named Entity Recognition Task is one of the most common steps used in natural language applications. Linked Data datasets have been presented as promising background knowledge for Named Entity Recognition algorithms due to the amount of data available and the high variety of knowledge domains they cover. However, the discovery of names in Linked Data(More)
This paper discusses liver resection for intraabdominal leiomyosarcoma metastases as a therapy for carefully selected patients. Of the 83 hepatectomies performed from 1992 to 1996, five were resections for liver metastases due to intraabdominal leiomyosarcoma, in 3 patients. The surgical indication was single liver metastases, without any evidence of(More)
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