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Learning of Graph-based Question Answering Rules
by:In: Proc. HLT/NAACL 2006 Workshop on Graph Algorithms for Natural Language Processing
(2006)
, p. 37-44.
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Abstract
In this paper we present a graph-based approach to question answering. The method assumes a graph representation of question sentences and text sentences. Question answering rules are automatically learnt from a training corpus of questions and answer sentences with the answer annotated. The method is independent from the graph representation formalism chosen. A particular example is presented that uses a specific graph representation of the logical contents of sentences.
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