Upload HuggingFace Models

papers/TIARA/HuggingFace/tiara-grailqa-class-retrieval-bert-base/LICENSE

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+MIT License
+
+Copyright (c) Microsoft Corporation.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

papers/TIARA/HuggingFace/tiara-grailqa-class-retrieval-bert-base/README.md

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+---
+license: mit
+language:
+- en
+metrics:
+- accuracy
+pipeline_tag: text-classification
+datasets:
+- grail_qa
+---
+This repo contains the **GrailQA class retrieval** model of the EMNLP 2022 paper [TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base](https://arxiv.org/abs/2210.12925).
+
+[[code](https://github.com/microsoft/KC/tree/main/papers/TIARA)] [[poster](https://yihengshu.github.io/homepage/EMNLP22poster.pdf)] [[slides](https://yihengshu.github.io/homepage/EMNLP22slides.pdf)] [[video](https://s3.amazonaws.com/pf-user-files-01/u-59356/uploads/2022-11-04/fr03tjr/EMNLP22.mp4)] [[ACL Anthology](https://aclanthology.org/2022.emnlp-main.555/)] [[BibTeX](https://aclanthology.org/2022.emnlp-main.555.bib)]
+
+## Usage
+
+HuggingFace Transformer and Task: `BertForSequenceClassification`.
+
+This model is a part of [TIARA_DATA.zip](https://kcpapers.blob.core.windows.net/tiara-emnlp2022/TIARA_DATA.zip). 
+
+If you use it for TIARA, put it under the dir `<TIARA_root_dir>/model/schema_dense_retrieval/class/`.
+
+Input format: `question [SEP] class`, e.g.,
+
+```
+what napa county wine is 13.9 percent alcohol by volume? [SEP] wine.wine
+```
+
+Output: a matching score.
+
+## Citation
+
+```
+@inproceedings{shu-etal-2022-tiara,
+    title = "{TIARA}: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base",
+    author = {Shu, Yiheng  and
+      Yu, Zhiwei  and
+      Li, Yuhan  and
+      Karlsson, B{\"o}rje  and
+      Ma, Tingting  and
+      Qu, Yuzhong  and
+      Lin, Chin-Yew},
+    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
+    month = dec,
+    year = "2022",
+    address = "Abu Dhabi, United Arab Emirates",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2022.emnlp-main.555",
+}
+```

papers/TIARA/HuggingFace/tiara-grailqa-generation-lf-schema-t5-base/LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) Microsoft Corporation.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

papers/TIARA/HuggingFace/tiara-grailqa-generation-lf-schema-t5-base/README.md

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+---
+license: mit
+datasets:
+- grail_qa
+language:
+- en
+pipeline_tag: text2text-generation
+---
+
+This repo contains the **GrailQA target logical form generation** model of the EMNLP 2022 paper [TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base](https://arxiv.org/abs/2210.12925).
+
+[[code](https://github.com/microsoft/KC/tree/main/papers/TIARA)] [[poster](https://yihengshu.github.io/homepage/EMNLP22poster.pdf)] [[slides](https://yihengshu.github.io/homepage/EMNLP22slides.pdf)] [[video](https://s3.amazonaws.com/pf-user-files-01/u-59356/uploads/2022-11-04/fr03tjr/EMNLP22.mp4)] [[ACL Anthology](https://aclanthology.org/2022.emnlp-main.555/)] [[BibTeX](https://aclanthology.org/2022.emnlp-main.555.bib)]
+
+## Usage
+
+HuggingFace Transformer and Task: `T5ForConditionalGeneration`.
+
+This model and the contexts of logical form and schema is a part of [TIARA_DATA.zip](https://kcpapers.blob.core.windows.net/tiara-emnlp2022/TIARA_DATA.zip). 
+
+If you use it for TIARA, put it under the dir `<TIARA_root_dir>/model/grailqa_generation/lf_schema/`.
+
+Input format: `question|query|<top-5 logical form>|entity|<entity label> <entity mid>|class|<top-10 class>|relation|<top-10 relation>`, e.g.,
+
+```
+what napa county wine is 13.9 percent alcohol by volume? |query|(AND wine.wine (JOIN wine.wine.percent_...|...|entity|napa valley m.0l2l_ |class|wine.wine|wine.wine_type|wine.vineyard|...|relation|wine.wine.percentage_alcohol|wine.wine_region|...
+```
+
+Output: a target logical form, e.g., 
+
+```
+(AND wine.wine (AND (JOIN (R wine.wine_sub_region.wines) m.0l2l_) (JOIN wine.wine.percentage_alcohol 13.9^^http://www.w3.org/2001/XMLSchema#float)))
+```
+
+## Citation
+
+```
+@inproceedings{shu-etal-2022-tiara,
+    title = "{TIARA}: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base",
+    author = {Shu, Yiheng  and
+      Yu, Zhiwei  and
+      Li, Yuhan  and
+      Karlsson, B{\"o}rje  and
+      Ma, Tingting  and
+      Qu, Yuzhong  and
+      Lin, Chin-Yew},
+    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
+    month = dec,
+    year = "2022",
+    address = "Abu Dhabi, United Arab Emirates",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2022.emnlp-main.555",
+}
+```

papers/TIARA/HuggingFace/tiara-grailqa-relation-retrieval-bert-base/LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) Microsoft Corporation.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

papers/TIARA/HuggingFace/tiara-grailqa-relation-retrieval-bert-base/README.md

@@ -0,0 +1,55 @@
+---
+license: mit
+language:
+- en
+metrics:
+- accuracy
+pipeline_tag: text-classification
+datasets:
+- grail_qa
+---
+
+
+This repo contains the **GrailQA relation retrieval** model of the EMNLP 2022 paper [TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base](https://arxiv.org/abs/2210.12925).
+
+[[code](https://github.com/microsoft/KC/tree/main/papers/TIARA)] [[poster](https://yihengshu.github.io/homepage/EMNLP22poster.pdf)] [[slides](https://yihengshu.github.io/homepage/EMNLP22slides.pdf)] [[video](https://s3.amazonaws.com/pf-user-files-01/u-59356/uploads/2022-11-04/fr03tjr/EMNLP22.mp4)] [[ACL Anthology](https://aclanthology.org/2022.emnlp-main.555/)] [[BibTeX](https://aclanthology.org/2022.emnlp-main.555.bib)]
+
+
+## Usage
+
+HuggingFace Transformer and Task: `BertForSequenceClassification`.
+
+This model is a part of [TIARA_DATA.zip](https://kcpapers.blob.core.windows.net/tiara-emnlp2022/TIARA_DATA.zip). 
+
+If you use it for TIARA, put it under the dir `<TIARA_root_dir>/model/schema_dense_retrieval/relation/`.
+
+Input format: `question [SEP] relation`, e.g.,
+
+```
+
+what napa county wine is 13.9 percent alcohol by volume? [SEP] wine.wine.percentage_alcohol
+
+```
+
+Output: a matching score.
+
+## Citation
+
+```
+@inproceedings{shu-etal-2022-tiara,
+    title = "{TIARA}: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base",
+    author = {Shu, Yiheng  and
+      Yu, Zhiwei  and
+      Li, Yuhan  and
+      Karlsson, B{\"o}rje  and
+      Ma, Tingting  and
+      Qu, Yuzhong  and
+      Lin, Chin-Yew},
+    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
+    month = dec,
+    year = "2022",
+    address = "Abu Dhabi, United Arab Emirates",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2022.emnlp-main.555",
+}
+```

papers/TIARA/HuggingFace/tiara-webqsp-generation-lf-schema-t5-base/LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) Microsoft Corporation.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

papers/TIARA/HuggingFace/tiara-webqsp-generation-lf-schema-t5-base/README.md

@@ -0,0 +1,52 @@
+---
+license: mit
+language:
+- en
+pipeline_tag: text2text-generation
+---
+
+This repo contains the **WebQSP target logical form generation** model of the EMNLP 2022 paper [TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base](https://arxiv.org/abs/2210.12925).
+
+[[code](https://github.com/microsoft/KC/tree/main/papers/TIARA)] [[poster](https://yihengshu.github.io/homepage/EMNLP22poster.pdf)] [[slides](https://yihengshu.github.io/homepage/EMNLP22slides.pdf)] [[video](https://s3.amazonaws.com/pf-user-files-01/u-59356/uploads/2022-11-04/fr03tjr/EMNLP22.mp4)] [[ACL Anthology](https://aclanthology.org/2022.emnlp-main.555/)] [[BibTeX](https://aclanthology.org/2022.emnlp-main.555.bib)]
+
+## Usage
+
+HuggingFace Transformer and Task: `T5ForConditionalGeneration`.
+
+This model and the contexts of logical form and schema is a part of [TIARA_DATA.zip](https://kcpapers.blob.core.windows.net/tiara-emnlp2022/TIARA_DATA.zip). 
+
+If you use it for TIARA, put it under the dir `<TIARA_root_dir>/model/webqsp_generation/lf_relation/`.
+
+Input format: `question|query|<top-5 logical form>|entity|<entity label> <entity mid>|relation|<top-10 relation>`, e.g.,
+
+```
+what napa county wine is 13.9 percent alcohol by volume? |query| (JOIN wine.wine.percent_...|...|entity|napa valley m.0l2l_ |relation|wine.wine.percentage_alcohol|wine.wine_region|...
+```
+
+Output: a target logical form, e.g., 
+
+```
+(AND (JOIN (R wine.wine_sub_region.wines) m.0l2l_) (JOIN wine.wine.percentage_alcohol 13.9^^http://www.w3.org/2001/XMLSchema#float))
+```
+
+
+## Citation
+
+```
+@inproceedings{shu-etal-2022-tiara,
+    title = "{TIARA}: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base",
+    author = {Shu, Yiheng  and
+      Yu, Zhiwei  and
+      Li, Yuhan  and
+      Karlsson, B{\"o}rje  and
+      Ma, Tingting  and
+      Qu, Yuzhong  and
+      Lin, Chin-Yew},
+    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
+    month = dec,
+    year = "2022",
+    address = "Abu Dhabi, United Arab Emirates",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2022.emnlp-main.555",
+}
+```

papers/TIARA/HuggingFace/tiara-webqsp-relation-retrieval-bert-base/LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) Microsoft Corporation.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

papers/TIARA/HuggingFace/tiara-webqsp-relation-retrieval-bert-base/README.md

@@ -0,0 +1,53 @@
+---
+license: mit
+language:
+- en
+metrics:
+- accuracy
+pipeline_tag: text-classification
+---
+
+
+This repo contains the **WebQSP relation retrieval** model of the EMNLP 2022 paper [TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base](https://arxiv.org/abs/2210.12925).
+
+[[code](https://github.com/microsoft/KC/tree/main/papers/TIARA)] [[poster](https://yihengshu.github.io/homepage/EMNLP22poster.pdf)] [[slides](https://yihengshu.github.io/homepage/EMNLP22slides.pdf)] [[video](https://s3.amazonaws.com/pf-user-files-01/u-59356/uploads/2022-11-04/fr03tjr/EMNLP22.mp4)] [[ACL Anthology](https://aclanthology.org/2022.emnlp-main.555/)] [[BibTeX](https://aclanthology.org/2022.emnlp-main.555.bib)]
+
+
+## Usage
+
+HuggingFace Transformer and Task: `BertForSequenceClassification`.
+
+This model is a part of [TIARA_DATA.zip](https://kcpapers.blob.core.windows.net/tiara-emnlp2022/TIARA_DATA.zip). 
+
+If you use it for TIARA, put it under the dir `<TIARA_root_dir>/model/webqsp_schema_dense_retrieval/`.
+
+Input format: `question [SEP] relation`, e.g.,
+
+```
+
+what napa county wine is 13.9 percent alcohol by volume? [SEP] wine.wine.percentage_alcohol
+
+```
+
+Output: a matching score.
+
+## Citation
+
+```
+@inproceedings{shu-etal-2022-tiara,
+    title = "{TIARA}: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base",
+    author = {Shu, Yiheng  and
+      Yu, Zhiwei  and
+      Li, Yuhan  and
+      Karlsson, B{\"o}rje  and
+      Ma, Tingting  and
+      Qu, Yuzhong  and
+      Lin, Chin-Yew},
+    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
+    month = dec,
+    year = "2022",
+    address = "Abu Dhabi, United Arab Emirates",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2022.emnlp-main.555",
+}
+```