update robustness acl2022 link
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@ -7,7 +7,7 @@ This repo hosts multiple open-source codes of the [Microsoft Research Asia DKI G
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## News
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- March, 2022: Our paper *Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation* was accepted by ACL 2022.
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- 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.
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- 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.
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- August, 2021: Our paper [Learning Algebraic Recombination for Compositional Generalization](https://arxiv.org/abs/2107.06516) was accepted by ACL 2021 Findings.
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- 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.
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# Robustness of Text-to-SQL Models
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This repository contains the data and code in the following paper:
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> [**Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation**](https://aclanthology.org/2022.acl-long.142.pdf) <br/>
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> Xinyu Pi*, Bing Wang*, Yan Gao, Jiaqi Guo, Zhoujun Li, Jian-Guang Lou<br/>
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> ACL 2022 Long Papers
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## Introduction
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- We pre-compute processed-WDC tables using Tapas dense retrieval models. Store output to `./wdc/wdc_dense_A.txt` and `./wdc/wdc_dense_B.txt` (Tapas have two encoders).
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### Run
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Just run the `pipeline.ipynb` and have fun.
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Just run the `pipeline.ipynb` and have fun.
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## Cite
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```
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@inproceedings{pi-etal-2022-towards,
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title = "Towards Robustness of Text-to-{SQL} Models Against Natural and Realistic Adversarial Table Perturbation",
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author = "Pi, Xinyu and Wang, Bing and Gao, Yan and Guo, Jiaqi and Li, Zhoujun and Lou, Jian-Guang",
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month = may,
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year = "2022",
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address = "Dublin, Ireland",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2022.acl-long.142",
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pages = "2007--2022"
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}
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```
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