DFKI-LT - An analysis of textual inference in German customer emails
An analysis of textual inference in German customer emails
3 Proceedings of the Third Joint Conference on Lexical and Computational Semantics, Dublin, Ireland, COLING, 8/2014
Human language allows us to express the same meaning in various ways. Recognizing that the meaning of one text can be inferred from the meaning of another can be of help in many natural language processing applications. One such application is the categorization of emails. In this paper, we describe the analysis of a real-world dataset of manually categorized customer emails written in the German language. We investigate the nature of textual inference in this data, laying the ground for developing an inference-based email categorization system. This is the first analysis of this kind on German data. We compare our results to previous analyses on English data and present major differences.
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