This repo hosts multiple open-source codes of the [Microsoft Research Asia DKI Group](https://www.microsoft.com/en-us/research/opportunity/data-analytics-intern-msra-dki/). You could find the corresponding code as below:
- Septempter, 2022 our paper [LogiGAN: Learning Logical Reasoning via Adversarial Pre-training](https://arxiv.org/abs/2205.08794) was accepted by NeurIPS 2022.
- March, 2022: Our paper [Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation](https://aclanthology.org/2022.acl-long.142.pdf) was accepted by ACL 2022.
- August, 2021: Our paper [Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing](https://aclanthology.org/2021.findings-acl.100.pdf) was accepted by ACL 2021 Findings.
- August, 2021: Our paper [Learning Algebraic Recombination for Compositional Generalization](https://arxiv.org/abs/2107.06516) was accepted by ACL 2021 Findings.
- September, 2020: Our paper ["What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL](https://arxiv.org/abs/2011.04151) was accepted by EMNLP 2020.
- September, 2020: Our paper [Hierarchical Poset Decoding for Compositional Generalization in Language](https://arxiv.org/abs/2010.07792) was accepted by NeurIPS 2020.
- September, 2020: Our paper [Compositional Generalization by Learning Analytical Expressions](https://arxiv.org/abs/2006.10627) was accepted by NeurIPS 2020 as *Spotlight*.
- April, 2020: Our paper [How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context](https://arxiv.org/abs/2002.00652) was accepted by IJCAI 2020.
If you have any question or find any bug, please go ahead and [open an issue](https://github.com/microsoft/ContextualSP/issues). Issues are an acceptable discussion forum as well.
