Egon W. Stemle

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This article describes the system that participated in the Part-of-speech tagging subtask of the EmpiriST 2015 shared task on automatic linguistic annotation of computer-mediated communication / social media. The system combines a small assertion of trending techniques, which implement matured methods, from NLP and ML to achieve competitive results on PoS(More)
Developing content extraction methods for Humanities domains raises a number of challenges , from the abundance of non-standard entity types to their complexity to the scarcity of data. Close collaboration with Humanities scholars is essential to address these challenges. We discuss an annotation schema for Archaeological texts developed in collaboration(More)
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