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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| Challenge: | Compositional generalization is the ability to generalize systematically to a new data distribution by combining known components. |
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| Challenge: | a recent study has found that large language models can generalize compositional instructions from simple instructions to complex ones. |
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| Challenge: | Compositional generalization is the ability of a system to correctly predict the meaning of complex sentences when trained on simpler sentences. |
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Mete Ismayilzada, Defne Circi, Jonne Sälevä, Hale Sirin, Abdullatif Köksal, Bhuwan Dhingra, Antoine Bosselut, Duygu Ataman, Lonneke Van Der Plas
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