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...
Any large language processing software relies in its operation on heuristic decisions concerning the strategy of processing. These decisions are usually "hard-wired" int...
Dependency analysis of natural language gives rise to non-projective structures. The constraint of well-nestedness on dependency trees has been recently shown to give a good fit ...
Several theories of grammar currently converge toward inserting subcategorization information within lexical entries. Such a tendency would benefit from a parsing algorithm able t...
The GE NLTooLsET is a set of text interpretation tools designed to be easily adapted to new domains. This report summarizes the system and its performance on the MUG-4 task . INTR...
George B. Krupka, Paul S. Jacobs, Lisa F. Rau, Loi...