Question Answering over Unstructured Data without Domain Restrictions [article]

Jochen L. Leidner
2002 arXiv   pre-print
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
more » ... imal 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.
arXiv:cs/0207058v2 fatcat:qoven77vdrfc5hveznq7s6nxnu