Learning Cross-lingual Distributed Logical Representations for Semantic Parsing

ACL 2018

Learning Cross-lingual Distributed Logical Representations for Semantic Parsing

Jan 29, 2021
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Abstract: With the development of several multilingual datasets used for semantic parsing, recent research efforts have looked into the problem of learning semantic parsers in a multilingual setup. However, how to improve the performance of a monolingual semantic parser for a specific language by leveraging data annotated in different languages remains a research question that is under-explored. In this work, we present a study to show how learning distributed represen-tations of the logical forms from data annotated in different languages can be used for improving the performance of a monolingual semantic parser. We extend two existing monolingual semantic parsers to incorporate such cross-lingual distributed logical representations as features. Experiments show that our proposed approach is able to yield improved semantic parsing results on the standard multilingual GeoQuery dataset. Authors: Yanyan Zou, Wei Lu (Singapore University of Technology and Design)

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