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Our contributions are: (1) we generate a QA training corpus starting from 877 answers from the customer care domain of T-Mobile Austria, (2) we implement a state-of-the-art QA pipeline using neural sentence ... Our re-ranking approach learns a similarity function using n-gram based features using the query, the answer and the initial system confidence as input. ... : Modeling Twitter Customer ServiceConversations Using Fine- Grained Dialogue Acts. ...arXiv:1908.10149v1 fatcat:22p7ay66krcehdzhnqbbct5kfe