A Note on the Complexity of Restricted Attribute-Value Grammars
Leen Torenvliet, Marten Trautwein (University of Amsterdam)

TL;DR
This paper investigates a restricted form of attribute-value grammars (R-AVG), showing it can recognize all context-free languages and more, with a decidable but NP-complete recognition problem, and introduces a new constraint linking R-AVG to complexity classes.
Contribution
It introduces R-AVG, a restricted, decidable form of AVGs that captures all context-free languages and relates to complexity classes via a new parsability constraint.
Findings
R-AVG captures all context-free languages and more
Recognition problem for R-AVG is decidable but NP-complete
Honest parsability constraint links R-AVG to complexity classes
Abstract
The recognition problem for attribute-value grammars (AVGs) was shown to be undecidable by Johnson in 1988. Therefore, the general form of AVGs is of no practical use. In this paper we study a very restricted form of AVG, for which the recognition problem is decidable (though still NP-complete), the R-AVG. We show that the R-AVG formalism captures all of the context free languages and more, and introduce a variation on the so-called `off-line parsability constraint', the `honest parsability constraint', which lets different types of R-AVG coincide precisely with well-known time complexity classes.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNatural Language Processing Techniques · Semantic Web and Ontologies · semigroups and automata theory
