Considering the difficulties inherent in the manual construction of natural language parsers, we have designed and implemented our system GRIND which is capable of learning a sequ...
This paper presents an FPGA-based implementation of a syntactic parser that can process languages generated by almost unrestricted real-life context-free grammars (CFGs). More prec...
Cristian Ciressan, Eduardo Sanchez, Martin Rajman,...
In this paper, we consider some of the problems that arise if automated reasoning methods are applied to natural language semantics. It turns that out that the problem of ambiguity...
In this paper we extend the maximum spanning tree (MST) dependency parsing framework of McDonald et al. (2005c) to incorporate higher-order feature representations and allow depen...
We present evidence that head-driven parsing strategies lead to efficiency gains over standard parsing strategies, for lexicalist, concatenative and unification-based grammars. A ...