The journal version of this paper, Fast Context-Free Grammar Parsing Requires Fast Boolean Matrix Multiplication, was published in the Journal of the ACM; follow the link for the paper, talk slides, and other information.
Abstract: Valiant showed that Boolean matrix multiplication (BMM) can be used for CFG parsing. We prove a dual result: CFG parsers running in time $O(|G||w|^{3 - \myeps})$ on a grammar $G$ and a string $w$ can be used to multiply $m \times m$ Boolean matrices in time $O(m^{3 - \myeps/3})$. In the process we also provide a formal definition of parsing motivated by an informal notion due to Lang. Our result establishes one of the first limitations on general CFG parsing: a fast, practical CFG parser would yield a fast, practical BMM algorithm, which is not believed to exist.
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BibTeX entry:
@InProceedings{Lee:97a, author = "Lillian Lee", title = "Fast Context-Free Parsing Requires Fast {Boolean} Matrix Multiplication", booktitle = "35th Annual Meeting of the ACL", year = 1997, pages = {9--15} }