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Luhy

添加123字节, 2022年3月7日 (一) 09:11

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'''<span style="font-size:x-large;">Journals</span>'''

'''<span style="font-size:large;">'''9.&nbsp;One for “All”: A unified model for fine-grained sentiment analysis under three tasks 面向网络社交媒体的少样本新冠谣言检测</span>'''<span style="font-size:large;">[[httpshttp://peerjjcip.cipsc.org.comcn/articlesCN/cs-816abstract/ LINK]][[https://githubabstract3255.com/jncsnlp/MEABSA DATAshtml Chinese Version]]</span>

<span style="font-size:large;">'''Lu H陆恒杨''',范晨悠&nbsp;Yang J *, Hu C, Fang W&nbsp;和 吴小俊</span>

'''<span style="font-size:large;">PeerJ Computer Science</span>'''<span style="font-size:large;">中文信息学报''', 20212022, 736(1): e816135-144. (SCI)</span>

'''<span style="font-size:large;">'''8. 面向社交媒体的少样本新冠谣言检测（录用）&nbsp;One for “All”: A unified model for fine-grained sentiment analysis under three tasks '''[[https://peerj.com/articles/cs-816/ LINK]][[https://github.com/jncsnlp/MEABSA DATA]]</span>'''

<span style="font-size:large;">'''陆恒杨Lu H''', 范晨悠&nbsp;和 吴小俊Yang J *, Hu C, Fang W&nbsp;</span>

'''<span style="font-size:large;">PeerJ Computer Science</span>'''中文信息学报'''<span style="font-size:large;">, 2021, 7: e816.(SCI)</span>

<span style="font-size:large;">'''7.&nbsp;A novel few-shot learning based multi-modality fusion model for COVID-19 rumor detection from online social media '''[[https://peerj.com/articles/cs-688/ LINK]][[https://github.com/jncsnlp/FSL-Multimodal-Rumor-Detection CODE]]</span>

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Lhy

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