Neural Architectures for Multilingual Semantic Parsing
Raymond Hendy Susanto, Wei Lu · 2017
In this paper, we address semantic parsing in a multilingual context.We train one multilingual model that is capable of parsing natural language sentences from multiple different languages into their corresponding formal semantic representations.We extend an existing sequence-to-tree model to a multi-task learning framework which shares the decoder for generating semantic representations.We report evaluation results on the multilingual GeoQuery corpus and introduce a new multilingual version of the ATIS corpus.