Mining Textual Answers with Knowledge-Based Indicators

Sanda M. Harabagiu and Marius Pasca, Southern Methodist University, USA

This paper describes a knowledge-based methodology of mining textual answers into large collections of texts. We present SOMBRERO , a knowledge processing module implemented in the LASSO question answering system. The module bootstraps question taxonomies, used for the search and validation of answers. Answer evaluation is produced through an expandable set of abduction rules.

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