By extending logic grammars with constraint logic, we give them the ability to create knowledge bases that represent the meaning of an input string. Semantic information is thus defined through extra-grammatical means, and a sentence's meaning logically follows as a by-product of string rewriting. We formalize these ideas, and exemplify them both within and outside first-order logic, and for both fixed and dynamic knowledge bases. Within the latter variety, we consider the usual left-to-right derivations that are traditional in logic grammars, but also - in a significant departure from the norm - arbitrary (i.e., order-independent) derivations. We show that rich and accurate knowledge extraction from text can be achieved through the use of this new formalism. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Christiansen, H., & Dahl, V. (2009). Abductive logic grammars. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5514 LNAI, pp. 170–181). https://doi.org/10.1007/978-3-642-02261-6_14
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