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README.md
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# :mailbox: Paper Code Collection (MSRA DKI Group) <img src="https://img-prod-cms-rt-microsoft-com.akamaized.net/cms/api/am/imageFileData/RE1Mu3b?ver=5c31" height="25" align=center>
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[](https://opensource.org/licenses/MIT)
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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:
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## News
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- October, 2022 our paper [Reasoning Like Program Executors](https://arxiv.org/abs/2201.11473) was accepted by EMNLP 2022.
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- October, 2022 our paper [LEMON: Language-Based Environment Manipulation via Execution-guided Pre-training](https://arxiv.org/abs/2201.08081) was accepted by EMNLP 2022 Findings.
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- Septempter, 2022 our paper [LogiGAN: Learning Logical Reasoning via Adversarial Pre-training](https://arxiv.org/abs/2205.08794) was accepted by NeurIPS 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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- September, 2020: Our paper [Incomplete Utterance Rewriting as Semantic Segmentation](https://arxiv.org/abs/2009.13166) was accepted by EMNLP 2020.
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- September, 2020: Our paper [Hierarchical Poset Decoding for Compositional Generalization in Language](https://arxiv.org/abs/2010.07792) was accepted by NeurIPS 2020.
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- September, 2020: Our paper [Compositional Generalization by Learning Analytical Expressions](https://arxiv.org/abs/2006.10627) was accepted by NeurIPS 2020 as *Spotlight*.
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- 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.
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## Code Release (Click Title to Locate the Code)
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### Reasoning
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||||
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> **[Reasoning Like Program Executors](poet)**
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> Xinyu Pi*, Qian Liu*, Bei Chen, Morteza Ziyadi, Zeqi Lin, Qiang Fu, Yan Gao, Jian-Guang Lou, Weizhu Chen, EMNLP 2022.
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||||
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> **[LEMON: Language-Based Environment Manipulation via Execution-guided Pre-training](lemon)**
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> Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, Jian-Guang Lou, EMNLP 2022 Findings.
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> **[LogiGAN: Learning Logical Reasoning via Adversarial Pre-training](logigan)**
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> Xinyu Pi*, Wanjun Zhong*, Yan Gao, Nan Duan, Jian-Guang Lou, NeurIPS 2022.
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### Text-to-SQL
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> **[UniSAr: A Unified Structure-Aware Autoregressive Language Model for Text-to-SQL](unified_parser_text_to_sql)**
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> Longxu Dou, Yan Gao, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Jian-Guang Lou, arxiv 2022.
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> **[Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation](robustness_of_text_to_sql)**
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> Xinyu Pi*, Bing Wang*, Yan Gao, Jiaqi Guo, Zhoujun Li, Jian-Guang Lou, ACL 2022.
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||||
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> **[Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing](awakening_latent_grounding)**
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> Qian Liu*, Dejian Yang*, Jiaqi Guo, Bin Zhou, Jian-Guang Lou, ACL 2021 Findings.
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>
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### Compositional Generalization
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||||
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||||
> **[Learning Algebraic Recombination for Compositional Generalization](https://github.com/thousfeet/LEAR)**
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> Chenyao Liu*, Shengnan An*, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang, ACL 2021 Findings.
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> **[Hierarchical Poset Decoding for Compositional Generalization in Language](poset_decoding)**
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> Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang, NeurIPS 2020.
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> **[Compositional Generalization by Learning Analytical Expressions](compositional_generalization)**
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> Qian Liu*, Shengnan An*, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang, NeurIPS 2020.
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### Conversation
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||||
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> **["What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL](interactive_text_to_sql)**
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> Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang, EMNLP 2020
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> **[Incomplete Utterance Rewriting as Semantic Segmentation](incomplete_utterance_rewriting)**
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> Qian Liu, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei Zhang, EMNLP 2020
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||||
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> **[How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context](semantic_parsing_in_context)**
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> Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang, IJCAI 2020
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## Contributing
|
||||
|
||||
This project welcomes contributions and suggestions. Most contributions require you to agree to a
|
||||
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
|
||||
the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
|
||||
|
||||
When you submit a pull request, a CLA bot will automatically determine whether you need to provide
|
||||
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
|
||||
provided by the bot. You will only need to do this once across all repos using our CLA.
|
||||
|
||||
This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
|
||||
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
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||||
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
|
||||
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## Question
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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.
|
||||
|
||||
If you want to concat the author, please email: `qian DOT liu AT buaa.edu.cn`.
|
||||
# :mailbox: Paper Code Collection (MSRA DKI Group) <img src="https://img-prod-cms-rt-microsoft-com.akamaized.net/cms/api/am/imageFileData/RE1Mu3b?ver=5c31" height="25" align=center>
|
||||
|
||||
[](https://opensource.org/licenses/MIT)
|
||||
|
||||
|
||||
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:
|
||||
|
||||
## News
|
||||
- December, 2022: our paper [MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing](https://arxiv.org/abs/2212.13492) was accepted by AAAI 2023.
|
||||
- October, 2022: our paper [Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge](https://arxiv.org/abs/2301.01067) was accepted by EMNLP 2022.
|
||||
- October, 2022: our paper [Reasoning Like Program Executors](https://arxiv.org/abs/2201.11473) was accepted by EMNLP 2022.
|
||||
- October, 2022: our paper [LEMON: Language-Based Environment Manipulation via Execution-guided Pre-training](https://arxiv.org/abs/2201.08081) was accepted by EMNLP 2022 Findings.
|
||||
- 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 [Incomplete Utterance Rewriting as Semantic Segmentation](https://arxiv.org/abs/2009.13166) 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.
|
||||
|
||||
## Code Release (Click Title to Locate the Code)
|
||||
|
||||
### Reasoning
|
||||
|
||||
> **[Reasoning Like Program Executors](poet)**
|
||||
> Xinyu Pi*, Qian Liu*, Bei Chen, Morteza Ziyadi, Zeqi Lin, Qiang Fu, Yan Gao, Jian-Guang Lou, Weizhu Chen, EMNLP 2022.
|
||||
|
||||
> **[LEMON: Language-Based Environment Manipulation via Execution-guided Pre-training](lemon)**
|
||||
> Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, Jian-Guang Lou, EMNLP 2022 Findings.
|
||||
|
||||
> **[LogiGAN: Learning Logical Reasoning via Adversarial Pre-training](logigan)**
|
||||
> Xinyu Pi*, Wanjun Zhong*, Yan Gao, Nan Duan, Jian-Guang Lou, NeurIPS 2022.
|
||||
|
||||
### Text-to-SQL
|
||||
> **[MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing](multilingual_text_to_sql)**
|
||||
> Longxu Dou, Yan Gao, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Jian-Guang Lou, AAAI 2023.
|
||||
>
|
||||
|
||||
> **[Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge](knowledge_intensive_text_to_sql)**
|
||||
> Longxu Dou, Yan Gao, Xuqi Liu, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Min-Yen Kan, Dechen Zhan, Jian-Guang Lou, EMNLP 2022.
|
||||
|
||||
> **[UniSAr: A Unified Structure-Aware Autoregressive Language Model for Text-to-SQL](unified_parser_text_to_sql)**
|
||||
> Longxu Dou, Yan Gao, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Jian-Guang Lou, arxiv 2022.
|
||||
|
||||
> **[Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation](robustness_of_text_to_sql)**
|
||||
> Xinyu Pi*, Bing Wang*, Yan Gao, Jiaqi Guo, Zhoujun Li, Jian-Guang Lou, ACL 2022.
|
||||
|
||||
> **[Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing](awakening_latent_grounding)**
|
||||
> Qian Liu*, Dejian Yang*, Jiaqi Guo, Bin Zhou, Jian-Guang Lou, ACL 2021 Findings.
|
||||
>
|
||||
### Compositional Generalization
|
||||
|
||||
> **[Learning Algebraic Recombination for Compositional Generalization](https://github.com/thousfeet/LEAR)**
|
||||
> Chenyao Liu*, Shengnan An*, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang, ACL 2021 Findings.
|
||||
|
||||
> **[Hierarchical Poset Decoding for Compositional Generalization in Language](poset_decoding)**
|
||||
> Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang, NeurIPS 2020.
|
||||
|
||||
> **[Compositional Generalization by Learning Analytical Expressions](compositional_generalization)**
|
||||
> Qian Liu*, Shengnan An*, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang, NeurIPS 2020.
|
||||
|
||||
### Conversation
|
||||
|
||||
> **["What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL](interactive_text_to_sql)**
|
||||
> Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang, EMNLP 2020
|
||||
|
||||
> **[Incomplete Utterance Rewriting as Semantic Segmentation](incomplete_utterance_rewriting)**
|
||||
> Qian Liu, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei Zhang, EMNLP 2020
|
||||
|
||||
> **[How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context](semantic_parsing_in_context)**
|
||||
> Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang, IJCAI 2020
|
||||
|
||||
## Contributing
|
||||
|
||||
This project welcomes contributions and suggestions. Most contributions require you to agree to a
|
||||
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
|
||||
the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
|
||||
|
||||
When you submit a pull request, a CLA bot will automatically determine whether you need to provide
|
||||
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
|
||||
provided by the bot. You will only need to do this once across all repos using our CLA.
|
||||
|
||||
This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
|
||||
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
|
||||
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
|
||||
|
||||
## Question
|
||||
|
||||
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.
|
||||
|
||||
If you want to concat the author, please email: `qian DOT liu AT buaa.edu.cn`.
|
||||
|
|
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|||
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@ -0,0 +1 @@
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Code and dataset are under cleaning. Coming soon.
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||||
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@ -0,0 +1 @@
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Code and dataset are under cleaning. Coming soon.
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||||
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