This paper describes a series of experiments aimed at producing a bottom-up parser that will produce partial parses suitable for use in robust interpretation and still be reasonably efficient. In the course of these experiments, we improved parse times by a factor of 18 over our first attempt, ending with a system that was twice as fast as our previous parser, which relied on strong top-down constraints. The major algorithmic variations we tried are described along with the corresponding performance results.