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检索条件"丛书名=Lecture notes in artificial intelligence,"
57438 条 记 录,以下是21-30 订阅
排序:
Neurophysiological Correlates of Textual Modulation in Visual Stimuli: An Experimental Study of Russian and English Memes  26th
Neurophysiological Correlates of Textual Modulation in Visua...
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26th International Conference on Speech and Computer
作者: Potapova, Rodmonga Potapov, Vsevolod Karimova, Ekaterina Motovskikh, Leonid Obrov, Nikolay Moscow State Linguist Univ Inst Appl & Math Linguist 38 Ostozhenka St Moscow 119034 Russia Lomonosov Moscow State Univ Ctr New Technol Humanities Leninskije Gory 1 Moscow 119991 Russia RAS Lab Appl Physiol Human Higher Nervous Act Inst Higher Nervous Act & Neurophysiol 5A Butlerova St Moscow 117485 Russia
In this pilot work neurophysiological correlates of textual modulation of perception of visual stimuli using English and Russian-language memes and control stimuli were identified using instrumental neuroimaging metho...
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Multimodal Emotion Recognition Using Compressed Graph Neural Networks  26th
Multimodal Emotion Recognition Using Compressed Graph Neural...
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26th International Conference on Speech and Computer
作者: Durkic, Tijana Simic, Nikola Bajovic, Sinisa Suzie Dragana Peric, Zoran Delic, Vladan Univ Novi Sad Fac Tech Sci Novi Sad 21000 Serbia Univ Nis Fac Elect Engn Nish 18000 Serbia
Since electronic devices have become an integral part of life, there has been a need to bring the communication between a human and a machine closer to being as similar as possible to that between two people. As inter...
来源: 评论
Prompt Debiasing via Causal Intervention for Event Argument Extraction  13th
Prompt Debiasing via Causal Intervention for Event Argument ...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Lin, Jiaju Zhou, Jie Chen, Qin Penn State Univ University Pk PA 16802 USA East China Normal Univ Shanghai Peoples R China
Prompt-based methods have become increasingly popular among information extraction tasks (e.g., event argument extraction), especially in low-data scenarios. By formatting a fine-tuning task into a pre-training object...
来源: 评论
Chinese Named Entity Recognition Based on Template and Contrastive Learning  13th
Chinese Named Entity Recognition Based on Template and Contr...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Zhu, Jingjing Cai, Tianyu Zhao, Zhenyu Ju, Shenggen Sichuan Univ Coll Comp Sci Chengdu 610065 Peoples R China
Introducing lexicon knowledge into character-level models enhances their ability to discern word boundaries, thus boosting the model's performance. Although the above methods have significantly improved the perfor...
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TGAN: Temporal-Aware Graph Attention Network for Early Rumor Detection in Social Media  13th
TGAN: Temporal-Aware Graph Attention Network for Early Rumor...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Zhang, Shubo Wei, Jing Zhao, Zhengyi Li, Binyang Wong, Kam-Fai Univ Int Relat Sch Cyber Sci & Engn Lab Cognit Intelligence & Secur Beijing Peoples R China Chinese Univ Hong Kong Hong Kong Peoples R China MoE Key Lab High Confidence Software Technol Beijing Peoples R China
Threatening rumors diffuse more quickly and widely than ever with the popularity of social media. Therefore, it is crucial to identify a rumor as early as possible to stop its spreading and reduce the potential damage...
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CSLAN: A Novel Lexicon Attention Network for Chinese NER  13th
CSLAN: A Novel Lexicon Attention Network for Chinese NER
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Lin, Rongsheng Gai, Shubin Ming, Zhong Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen Peoples R China Lab Artificial Intelligence & Digital Econ Shenzh Shenzhen Peoples R China Shenzhen Technol Univ Coll Big Data & Internet Shenzhen Peoples R China
Recently, many studies have employed lexicon-based models to integrate lexicon information into character repersentation for Chinese Named Entity Recognition(NER) tasks, and these models have demonstrated high effecti...
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Multi-layer Sequence Labeling-Based Joint Biomedical Event Extraction  13th
Multi-layer Sequence Labeling-Based Joint Biomedical Event E...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Chen, Gongchi Wu, Pengchao Gu, Jinghang Qian, Longhua Zhou, Guodong Soochow Univ Sch Comp Sci & Technol Suzhou 215006 Peoples R China Hong Kong Polytech Univ Dept Chinese & Bilingual Studies Hong Kong 999077 Peoples R China
In recent years, biomedical event extraction has been dominated by complicated pipeline and joint methods, which need to be simplified. In addition, existing work has not effectively utilized trigger word information ...
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MCKRL: A Multi-channel Based Multi-graph Knowledge Representation Learning Model  13th
MCKRL: A Multi-channel Based Multi-graph Knowledge Represent...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Tang, Zihao Zhang, Xiang Shang, Xiaoyu Southeast Univ Sch Software Engn Nanjing Peoples R China Southeast Univ Sch Comp Sci & Engn Nanjing Peoples R China
Knowledge representation learning (KRL) aims to encode entities and relationships from the real world into low-dimensional, real-valued vectors. However, knowledge in specific domains is often distributed across multi...
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Improving Self-consistency for Open-Domain Question Answering via Automatic Prompt Engineering and Ensemble Learning  13th
Improving Self-consistency for Open-Domain Question Answerin...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Li, Jie Han, Xue Deng, Chao Feng, Junlan China Mobile Res Inst JiuTian Team Beijing Peoples R China
Large Language Models (LLMs) have shown remarkable performance on a variety of natural language tasks, but eliciting their abilities for more consistent predictions is still highly reliant on researchers' well-cra...
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Leveraging Parameter-Efficient Fine-Tuning for Multilingual Abstractive Summarization  13th
Leveraging Parameter-Efficient Fine-Tuning for Multilingual ...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Shen, Jialun Wang, Yusong Tokyo Inst Technol Meguro Japan Guangdong Inst Intelligence Sci & Technol Zhuhai Peoples R China
In recent years, parameter-efficient fine-tuning methods have gained attention as an alternative to full fine-tuning of pre-trained language models for transfer learning. Such methods can alleviate the problem that fu...
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