Kosmos-2.5: A Multimodal Literate Model
Tengchao Lv, Yupan Huang, Jingye Chen, Lei Cui, Shuming Ma, Yaoyao Chang, Shaohan Huang, Wenhui Wang, Li Dong, Weiyao Luo, Shaoxiang Wu, Guoxin Wang, Cha Zhang, Furu Wei
September 2023
Guoxin Wang
Research SDE2
Papiers de Collaboration
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Unifying Vision, Text, and Layout for Universal Document Processing
Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal
The IEEE / CVF Computer Vision and Pattern Recognition Conference | June 2023
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XFUND: A Benchmark Dataset for Multilingual Visually Rich Form Understanding
Yiheng Xu, Tengchao Lv, Lei Cui, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Furu Wei
ACL 2022 | May 2022
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BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge
Huiqiang Jiang, Guoxin Wang, Weile Chen, Chengxi Zhang, Börje F. Karlsson
MSR-TR-2020-54 | December 2020
Publié par Microsoft Research
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Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin
AAAI 2020 | February 2020
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Exploring Word Representations on Time Expression Recognition
Sanxing Chen, Guoxin Wang, Börje F. Karlsson
MSR-TR-2019-46 | June 2019
Publié par Microsoft Research
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CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition
Yuying Zhu, Guoxin Wang, Börje F. Karlsson
https://arxiv.org/abs/1904.02141 | April 2019
Publié par Microsoft
Accepted at NAACL 2019.
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Kosmos-2.5: A Multimodal Literate Model
Tengchao Lv, Yupan Huang, Jingye Chen, Lei Cui, Shuming Ma, Yaoyao Chang, Shaohan Huang, Wenhui Wang, Li Dong, Weiyao Luo, Shaoxiang Wu, Guoxin Wang, Cha Zhang, Furu Wei
September 2023
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Unifying Vision, Text, and Layout for Universal Document Processing
Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal
The IEEE / CVF Computer Vision and Pattern Recognition Conference | June 2023
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BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge
Huiqiang Jiang, Guoxin Wang, Weile Chen, Chengxi Zhang, Börje F. Karlsson
MSR-TR-2020-54 | December 2020
Publié par Microsoft Research
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Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin
AAAI 2020 | February 2020
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Exploring Word Representations on Time Expression Recognition
Sanxing Chen, Guoxin Wang, Börje F. Karlsson
MSR-TR-2019-46 | June 2019
Publié par Microsoft Research
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CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition
Yuying Zhu, Guoxin Wang, Börje F. Karlsson
https://arxiv.org/abs/1904.02141 | April 2019
Publié par Microsoft
Accepted at NAACL 2019.
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Kosmos-2.5: A Multimodal Literate Model
Tengchao Lv, Yupan Huang, Jingye Chen, Lei Cui, Shuming Ma, Yaoyao Chang, Shaohan Huang, Wenhui Wang, Li Dong, Weiyao Luo, Shaoxiang Wu, Guoxin Wang, Cha Zhang, Furu Wei
September 2023
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Unifying Vision, Text, and Layout for Universal Document Processing
Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal
The IEEE / CVF Computer Vision and Pattern Recognition Conference | June 2023
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Kosmos-2.5: A Multimodal Literate Model
Tengchao Lv, Yupan Huang, Jingye Chen, Lei Cui, Shuming Ma, Yaoyao Chang, Shaohan Huang, Wenhui Wang, Li Dong, Weiyao Luo, Shaoxiang Wu, Guoxin Wang, Cha Zhang, Furu Wei
September 2023
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XFUND: A Benchmark Dataset for Multilingual Visually Rich Form Understanding
Yiheng Xu, Tengchao Lv, Lei Cui, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Furu Wei
ACL 2022 | May 2022
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BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge
Huiqiang Jiang, Guoxin Wang, Weile Chen, Chengxi Zhang, Börje F. Karlsson
MSR-TR-2020-54 | December 2020
Publié par Microsoft Research
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Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin
AAAI 2020 | February 2020
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Exploring Word Representations on Time Expression Recognition
Sanxing Chen, Guoxin Wang, Börje F. Karlsson
MSR-TR-2019-46 | June 2019
Publié par Microsoft Research
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BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge
Huiqiang Jiang, Guoxin Wang, Weile Chen, Chengxi Zhang, Börje F. Karlsson
MSR-TR-2020-54 | December 2020
Publié par Microsoft Research
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Exploring Word Representations on Time Expression Recognition
Sanxing Chen, Guoxin Wang, Börje F. Karlsson
MSR-TR-2019-46 | June 2019
Publié par Microsoft Research
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Kosmos-2.5: A Multimodal Literate Model
Tengchao Lv, Yupan Huang, Jingye Chen, Lei Cui, Shuming Ma, Yaoyao Chang, Shaohan Huang, Wenhui Wang, Li Dong, Weiyao Luo, Shaoxiang Wu, Guoxin Wang, Cha Zhang, Furu Wei
September 2023
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Unifying Vision, Text, and Layout for Universal Document Processing
Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal
The IEEE / CVF Computer Vision and Pattern Recognition Conference | June 2023
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XFUND: A Benchmark Dataset for Multilingual Visually Rich Form Understanding
Yiheng Xu, Tengchao Lv, Lei Cui, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Furu Wei
ACL 2022 | May 2022
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Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin
AAAI 2020 | February 2020
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BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge
Huiqiang Jiang, Guoxin Wang, Weile Chen, Chengxi Zhang, Börje F. Karlsson
MSR-TR-2020-54 | December 2020
Publié par Microsoft Research
-
Exploring Word Representations on Time Expression Recognition
Sanxing Chen, Guoxin Wang, Börje F. Karlsson
MSR-TR-2019-46 | June 2019
Publié par Microsoft Research
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CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition
Yuying Zhu, Guoxin Wang, Börje F. Karlsson
https://arxiv.org/abs/1904.02141 | April 2019
Publié par Microsoft
Accepted at NAACL 2019.
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