A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes
10.1109/TMM.2020.3042706
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IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
2022
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| Online Access: | https://scholarbank.nus.edu.sg/handle/10635/229622 |
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sg-nus-scholar.10635-2296222024-04-17T09:04:40Z A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes Pan, Liangming Chen, Jingjing Liu, Shaoteng Ngo, Chong-Wah Kan, Min-Yen Chua, Tat-Seng DEPARTMENT OF COMPUTER SCIENCE Science & Technology Technology Computer Science, Information Systems Computer Science, Software Engineering Telecommunications Computer Science Feature extraction Training Task analysis Semantics Pipelines Deep learning Predictive models Food recipes cooking workflow prerequisite trees multi-modal fusion cause-and-effect reasoning deep learning 10.1109/TMM.2020.3042706 23 4491-4501 2022-08-01T05:56:08Z 2022-08-01T05:56:08Z 2021-01-01 2022-07-19T07:43:23Z Conference Paper Pan, Liangming, Chen, Jingjing, Liu, Shaoteng, Ngo, Chong-Wah, Kan, Min-Yen, Chua, Tat-Seng (2021-01-01). A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes 23 : 4491-4501. ScholarBank@NUS Repository. https://doi.org/10.1109/TMM.2020.3042706 15209210 19410077 https://scholarbank.nus.edu.sg/handle/10635/229622 IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC Elements |
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National University of Singapore |
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Asia |
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Singapore Singapore |
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Science & Technology Technology Computer Science, Information Systems Computer Science, Software Engineering Telecommunications Computer Science Feature extraction Training Task analysis Semantics Pipelines Deep learning Predictive models Food recipes cooking workflow prerequisite trees multi-modal fusion cause-and-effect reasoning deep learning |
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Science & Technology Technology Computer Science, Information Systems Computer Science, Software Engineering Telecommunications Computer Science Feature extraction Training Task analysis Semantics Pipelines Deep learning Predictive models Food recipes cooking workflow prerequisite trees multi-modal fusion cause-and-effect reasoning deep learning Pan, Liangming Chen, Jingjing Liu, Shaoteng Ngo, Chong-Wah Kan, Min-Yen Chua, Tat-Seng A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes |
| description |
10.1109/TMM.2020.3042706 |
| author2 |
DEPARTMENT OF COMPUTER SCIENCE |
| author_facet |
DEPARTMENT OF COMPUTER SCIENCE Pan, Liangming Chen, Jingjing Liu, Shaoteng Ngo, Chong-Wah Kan, Min-Yen Chua, Tat-Seng |
| format |
Conference or Workshop Item |
| author |
Pan, Liangming Chen, Jingjing Liu, Shaoteng Ngo, Chong-Wah Kan, Min-Yen Chua, Tat-Seng |
| author_sort |
Pan, Liangming |
| title |
A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes |
| title_short |
A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes |
| title_full |
A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes |
| title_fullStr |
A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes |
| title_full_unstemmed |
A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes |
| title_sort |
hybrid approach for detecting prerequisite relations in multi-modal food recipes |
| publisher |
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| publishDate |
2022 |
| url |
https://scholarbank.nus.edu.sg/handle/10635/229622 |
| _version_ |
1800915540798078976 |