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Question Answering over Unstructured Data without Domain Restrictions

Jochen L. Leidner
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Abstract

Information needs are naturally represented as questions. Automatic Natural-Language Question Answering (NLQA) has only recently become a practical task on a larger scale and without domain constraints. This paper gives a brief introduction to the field, its history and the impact of systematic evaluation competitions. It is then demonstrated that an NLQA system for English can be built and evaluated in a very short time using off-the-shelf parsers and thesauri. The system is based on Robust Minimal Recursion Semantics (RMRS) and is portable with respect to the parser used as a frontend. It applies atomic term unification supported by question classification and WordNet lookup for semantic similarity matching of parsed question representation and free text.

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Jochen L. Leidner. 2002-07-18. Question Answering over Unstructured Data without Domain Restrictions. https://arxiv.org/abs/cs/0207058

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