|Title||Learning of graph-based question answering rules|
|Publication Type||Conference Paper|
|Year of Publication||2006|
|Conference Name||First Workshop on Graph Based Methods for Natural Language Processing|
|Publisher||Association for Computational Linguistics|
|Conference Location||New York City, NY|
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.