Dataset Mention Extraction and Classification
10.18653/v1/w19-2604
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Association for Computational Linguistics
2019
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| Online Access: | https://scholarbank.nus.edu.sg/handle/10635/157125 |
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sg-nus-scholar.10635-1571252024-04-25T06:17:57Z Dataset Mention Extraction and Classification Prasad, Animesh Si, Chenglei Kan, Min-Yen DEPARTMENT OF COMPUTER SCIENCE INST FOR APPLN OF LEARNING SCI & ED TECH 10.18653/v1/w19-2604 Proceedings of the Workshop on Extracting Structured Knowledge from Scientific Publications 2019-07-29T01:30:58Z 2019-07-29T01:30:58Z 2019 2019-07-27T08:28:52Z Conference Paper Prasad, Animesh, Si, Chenglei, Kan, Min-Yen (2019). Dataset Mention Extraction and Classification. Proceedings of the Workshop on Extracting Structured Knowledge from Scientific Publications. ScholarBank@NUS Repository. https://doi.org/10.18653/v1/w19-2604 https://scholarbank.nus.edu.sg/handle/10635/157125 Association for Computational Linguistics Elements |
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National University of Singapore |
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NUS Library |
| continent |
Asia |
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Singapore Singapore |
| content_provider |
NUS Library |
| collection |
ScholarBank@NUS |
| description |
10.18653/v1/w19-2604 |
| author2 |
DEPARTMENT OF COMPUTER SCIENCE |
| author_facet |
DEPARTMENT OF COMPUTER SCIENCE Prasad, Animesh Si, Chenglei Kan, Min-Yen |
| format |
Conference or Workshop Item |
| author |
Prasad, Animesh Si, Chenglei Kan, Min-Yen |
| spellingShingle |
Prasad, Animesh Si, Chenglei Kan, Min-Yen Dataset Mention Extraction and Classification |
| author_sort |
Prasad, Animesh |
| title |
Dataset Mention Extraction and Classification |
| title_short |
Dataset Mention Extraction and Classification |
| title_full |
Dataset Mention Extraction and Classification |
| title_fullStr |
Dataset Mention Extraction and Classification |
| title_full_unstemmed |
Dataset Mention Extraction and Classification |
| title_sort |
dataset mention extraction and classification |
| publisher |
Association for Computational Linguistics |
| publishDate |
2019 |
| url |
https://scholarbank.nus.edu.sg/handle/10635/157125 |
| _version_ |
1800913677858111488 |