USI Answers: Natural Language Question Answering Over (Semi-) Structured Industry Data

This paper describes USI Answers- a natural language ques-tion answering system for semi-structured industry data. The paper reports on the progress towards the goal of offering easy access to enterprise data to a large number of business users, most of whom are not familiar with the specific syntax or semantics of the underlying data sources. Additional com-plications come from the nature of the data, which comes both as structured and unstructured. The proposed solution allows users to express questions in natural language, makes appar-ent the system’s interpretation of the query, and allows easy query adjustment and reformulation. The application is in use by more than 1500 users from Siemens Energy. We evaluate our approach on a data set consisting of fleet data