MultilingualSemanticParsing
Related Papers
Semantic Tagging with Deep Residual Networks
AbstractWe propose a novel semantic tagging task, semtagging, tailored for the purpose of multilingual semantic parsing, and present the first tagger using deep residual networks (ResNets). Our tagger uses both …...
Multi-level Alignment Pretraining for Multi-lingual Semantic Parsing
AbstractIn this paper, we present a multi-level alignment pretraining method in a unified architecture formulti-lingual semantic parsing. In this architecture, we use an adversarial training method toalign the space of …...
Multilingual Neural Semantic Parsing for Low-Resourced Languages
AbstractMultilingual semantic parsing is a cost-effective method that allows a single model to understand different languages. However, researchers face a great imbalance of availability of training data, with English being …...
Active Learning for Multilingual Semantic Parser
AbstractCurrent multilingual semantic parsing (MSP) datasets are almost all collected by translating the utterances in the existing datasets from the resource-rich language to the target language. However, manual translation is …...
The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning
AbstractMultilingual semantic parsing aims to leverage the knowledge from the high-resource languages to improve low-resource semantic parsing, yet commonly suffers from the data imbalance problem. Prior works propose to utilize …...