Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser
Koji Mineshima, Ribeka Tanaka, Pascual Martínez-Gómez, Yusuke Miyao, Daisuke Bekki · 2016
This paper presents a system that compositionally maps outputs of a wide-coverage Japanese CCG parser onto semantic representations and performs automated inference in higher-order logic.The system is evaluated on a textual entailment dataset.It is shown that the system solves inference problems that focus on a variety of complex linguistic phenomena, including those that are difficult to represent in the standard first-order logic.