emnlp emnlp2011 emnlp2011-32 emnlp2011-32-reference knowledge-graph by maker-knowledge-mining
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Author: Nikhil Dinesh ; Aravind Joshi ; Insup Lee
Abstract: The computation of logical form has been proposed as an intermediate step in the translation of sentences to logic. Logical form encodes the resolution of scope ambiguities. In this paper, we describe experiments on a modestsized corpus of regulation annotated with a novel variant of logical form, called abstract syntax trees (ASTs). The main step in computing ASTs is to order scope-taking operators. A learning model for ranking is adapted for this ordering. We design features by studying the problem ofcomparing the scope ofone operator to another. The scope comparisons are used to compute ASTs, with an F-score of 90.6% on the set of ordering decisons.
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