Learning Inference Rules with Neural TP-Reasoner
Kezhen Chen, Qiuyuan Huang, Paul Smolensky, Kenneth Forbus, Jianfeng Gao
NeurIPS 2020, workshop | December 2020
出版物
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Mapping Natural-language Problems to Formal-language Solutions Using Structured Neural Representations
Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao
ICML 2020 | July 2020
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TP-N2F: Tensor Product Representation for Natural To Formal Language Generation
Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao
Thirty-third Conference on Neural Information Processing Systems (NeurIPS) 2019, workshop | December 2019
Best Paper Award at KR2ML Workshop in NeurIPS 2019.
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Attentive Tensor Product Learning
Qiuyuan Huang, Li Deng, Oliver Wu, Chang Liu, Xiaodong He
AAAI 2019 | February 2019
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Tensor Product Generation Networks for Deep NLP Modeling
Qiuyuan Huang, Paul Smolensky, Xiaodong He, Oliver Wu, Li Deng
NAACL 2018 | June 2018
long paper
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Question-Answering with Grammatically-Interpretable Representations
Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng
AAAI-18: Thirty-Second AAAI Conference on Artificial Intelligence | February 2018
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Grammatically-Interpretable Learned Representations in Deep NLP Models
Hamid Palangi, Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng
NIPS 2017, Workshop | December 2017
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Learning Inference Rules with Neural TP-Reasoner
Kezhen Chen, Qiuyuan Huang, Paul Smolensky, Kenneth Forbus, Jianfeng Gao
NeurIPS 2020, workshop | December 2020
-
Mapping Natural-language Problems to Formal-language Solutions Using Structured Neural Representations
Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao
ICML 2020 | July 2020
-
TP-N2F: Tensor Product Representation for Natural To Formal Language Generation
Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao
Thirty-third Conference on Neural Information Processing Systems (NeurIPS) 2019, workshop | December 2019
Best Paper Award at KR2ML Workshop in NeurIPS 2019.
-
Attentive Tensor Product Learning
Qiuyuan Huang, Li Deng, Oliver Wu, Chang Liu, Xiaodong He
AAAI 2019 | February 2019
-
Tensor Product Generation Networks for Deep NLP Modeling
Qiuyuan Huang, Paul Smolensky, Xiaodong He, Oliver Wu, Li Deng
NAACL 2018 | June 2018
long paper
-
Question-Answering with Grammatically-Interpretable Representations
Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng
AAAI-18: Thirty-Second AAAI Conference on Artificial Intelligence | February 2018
-
Grammatically-Interpretable Learned Representations in Deep NLP Models
Hamid Palangi, Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng
NIPS 2017, Workshop | December 2017
-
-
-
Learning Inference Rules with Neural TP-Reasoner
Kezhen Chen, Qiuyuan Huang, Paul Smolensky, Kenneth Forbus, Jianfeng Gao
NeurIPS 2020, workshop | December 2020
-
Mapping Natural-language Problems to Formal-language Solutions Using Structured Neural Representations
Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao
ICML 2020 | July 2020
-
TP-N2F: Tensor Product Representation for Natural To Formal Language Generation
Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao
Thirty-third Conference on Neural Information Processing Systems (NeurIPS) 2019, workshop | December 2019
Best Paper Award at KR2ML Workshop in NeurIPS 2019.
-
-
-
Learning Inference Rules with Neural TP-Reasoner
Kezhen Chen, Qiuyuan Huang, Paul Smolensky, Kenneth Forbus, Jianfeng Gao
NeurIPS 2020, workshop | December 2020
-
Mapping Natural-language Problems to Formal-language Solutions Using Structured Neural Representations
Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao
ICML 2020 | July 2020
-
TP-N2F: Tensor Product Representation for Natural To Formal Language Generation
Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao
Thirty-third Conference on Neural Information Processing Systems (NeurIPS) 2019, workshop | December 2019
Best Paper Award at KR2ML Workshop in NeurIPS 2019.
-
Attentive Tensor Product Learning
Qiuyuan Huang, Li Deng, Oliver Wu, Chang Liu, Xiaodong He
AAAI 2019 | February 2019
-
Tensor Product Generation Networks for Deep NLP Modeling
Qiuyuan Huang, Paul Smolensky, Xiaodong He, Oliver Wu, Li Deng
NAACL 2018 | June 2018
long paper
-
Question-Answering with Grammatically-Interpretable Representations
Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng
AAAI-18: Thirty-Second AAAI Conference on Artificial Intelligence | February 2018
-
Grammatically-Interpretable Learned Representations in Deep NLP Models
Hamid Palangi, Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng
NIPS 2017, Workshop | December 2017
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