In this paper, we present an algorithm for learning a generative model of natural language sentences together with their formal meaning representations with hierarchical structure...
Wei Lu, Hwee Tou Ng, Wee Sun Lee, Luke S. Zettlemo...
Abstract. The purpose of this paper is (1) to provide a theoretical justification for the use of Monte-Carlo sampling for approximate resolution of NP-hard maximization problems in...
Automatic compilation of the linking relation employed in certain parsing algorithms for context-free languages is examined. Special problems arise in the extension of these algor...
We report on the initial stages of development of a robust parsing system, to be used as part of The Editor's Assistant, a program that detects and corrects textual errors an...
We present a simple but accurate parser which exploits both large tree fragments and symbol refinement. We parse with all fragments of the training set, in contrast to much recent...