Papers with cross-lingual compositional generalization

2 papers
Compositional Generalization in Multilingual Semantic Parsing over Wikidata (2022.tacl-1)

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Challenge: Semantic parsers are mostly designed for and evaluated on English resources, such as CFQ.
Approach: They propose a method for creating a multilingual, parallel question-query dataset . they analyze compositional generalization of parsers in Hebrew, Kannada, Chinese, and English .
Outcome: The proposed method analyzes compositional generalization of parsers in Hebrew, Kannada, Chinese, and English.
On Evaluating Multilingual Compositional Generalization with Translated Datasets (2023.acl-long)

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Challenge: a growing amount of research investigating compositional generalization in NLP is done on English . a critical semantic distortion is a limitation of the translation of datasets .
Approach: They propose to translate a dataset for evaluating compositional generalization in semantic parsing.
Outcome: The proposed benchmarks show that the translation of the MCWQ dataset suffers from semantic distortion.

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