Paper: An analysis of textual inference in German customer emails

ACL ID S14-1009
Title An analysis of textual inference in German customer emails
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

Human language allows us to express the same meaning in various ways. Recogniz- ing that the meaning of one text can be in- ferred from the meaning of another can be of help in many natural language process- ing 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 infer- ence in this data, laying the ground for de- veloping an inference-based email catego- rization 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.