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Question Answering provides a method of locating precise answers to specific questions but in technical domains the amount of Multi-Word Terms complicates this task. This paper outlines the Question Answering task in such a domain and explores two ways of detecting relations between Multi-Word Terms. The first targets specific semantic relations, the second uses a clustering algorithm, but they are both based on the idea of syntactic variation. The paper demonstrates how the combination of these two methodologies provide sophisticated access to technical domains.

Complex Structuring of term variants for Question Answering

Complex Structuring of term variants for Question Answering

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