A Statistical Machine Translation Model with Forest-to-Tree Algorithm for Semantic Parsing

RANLP 2017 Zhihua LiaoYan Xie

In this paper, we propose a novel supervised model for parsing natural language sentences into their formal semantic representations. This model treats sentence-to-lambda-logical expression conversion within the framework of the statistical machine translation with forest-to-tree algorithm... (read more)

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