Papers by Sahar Movaghati
An Empirical Analysis of Leveraging Knowledge for Low-Resource Task-Oriented Semantic Parsing (2023.findings-acl)
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Mayank Kulkarni, Aoxiao Zhong, Nicolas Guenon des mesnards, Sahar Movaghati, Mukund Sridhar, He Xie, Jianhua Lu
| Challenge: | Task-oriented semantic parsing is a new approach to represent the meaning of user requests with arbitrarily nested semantics. |
| Approach: | They propose to use knowledge-enhanced encoders to parse user requests with arbitrarily nested semantics. |
| Outcome: | The proposed model improves performance in low-resource and low-compute settings. |