Abstract. Compositional reasoning aims to improve scalability of verification tools by reducing the original verification task into subproblems. The simplification is typically bas...
Abstract. This paper addresses the issue of simplifying natural language texts in order to ease the task of accessing factual information contained in them. We define the notion of...
Beata Beigman Klebanov, Kevin Knight, Daniel Marcu
Abstract-- Genetic Parallel Programming (GPP) evolves parallel programs for MIMD architectures with multiple arithmetic/logic processors (MAPs). This paper describes a tool intende...
Abstract. Machine learning approaches in natural language processing often require a large annotated corpus. We present a complementary approach that utilizes expert knowledge to o...
In this paper, we provide a study on the use of tree kernels to encode syntactic parsing information in natural language learning. In particular, we propose a new convolution kerne...