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检索条件"丛书名=Lecture notes in artificial intelligence,"
57438 条 记 录,以下是211-220 订阅
排序:
Bias-Rectified Multi-way Learning with Data Augmentation for Implicit Discourse Relation Recognition  13th
Bias-Rectified Multi-way Learning with Data Augmentation for...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Zheng, Ziwei Liang, Chao Xiang, Wei Wang, Bang Huazhong Univ Sci & Technol Sch Elect Informat & Commun Hubei Key Lab Smart Internet Technol Luoyu Rd 1037 Wuhan 430074 Hubei Peoples R China Cent China Normal Univ Fac Artificial Intelligence Educ Wuhan Peoples R China
Implicit Discourse Relation Recognition (IDRR) is a challenging but vital task in discourse analysis that focuses on identifying and classifying the relation between two arguments without explicit connectives. Previou...
来源: 评论
TKGR-GPRSCL: Enhance Temporal Knowledge Graph Reasoning with Graph Structure-Aware Path Representation and Supervised Contrastive Learning  13th
TKGR-GPRSCL: Enhance Temporal Knowledge Graph Reasoning with...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Xiong, Lizhu Sheng, Yongpan He, Lirong Southwest Univ Coll Comp & Informat Sci Chongqing 400715 Peoples R China Chongqing Univ Sch Big Data & Software Engn Chongqing 401331 Peoples R China Chongqing Jiaotong Univ Sch Informat Sci & Engn Chongqing 400074 Peoples R China
Temporal knowledge graph reasoning (TKGR) aims to infer new temporal fact knowledge based on existing ones, which has become a major concern due to its wide demands, especially for time-sensitive modeling scenarios. H...
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Activate Integrated Controllable Generation with Soft Prompt  13th
Activate Integrated Controllable Generation with Soft Prompt
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Ma, Jingkun Zhan, Runzhe Wong, Derek F. Chao, Lidia S. Univ Macau Dept Comp & Informat Sci NLP2CT Lab Macau Peoples R China
Parameter-efficient transfer learning (PETL) methods have gained significant adoption in downstream tasks due to their ability to reduce the cost of tuning pre-trained language models. However, a tradeoff between perf...
来源: 评论
Graph Interpretation of Image-Text Matching: Link Prediction on Concept-Enhanced Cross-Modal Graph  13th
Graph Interpretation of Image-Text Matching: Link Prediction...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Fan, Zhihao Li, Zejun Wang, Siyuan Wei, Zhongyu Shan, Haijun Fudan Univ Shanghai Peoples R China CEC GienTech Technol Co Ltd Shanghai Peoples R China
Image-text retrieval aims to retrieve semantically related samples in a different modality given text/image as input. Previous works focus on developing cross-model interaction for the local relationship of the image-...
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Hierarchical Knowledge Aggregation for Personalized Response Generation in Dialogue Systems  13th
Hierarchical Knowledge Aggregation for Personalized Response...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Dong, Yuezhou Qin, Ke Liang, Shuang Univ Elect Sci & Technol China Natl Key Lab Intelligent Collaborat Comp Chengdu 611731 Sichuan Peoples R China Univ Elect Sci & Technol China Sch Comp Sci & Engn Chengdu 611731 Sichuan Peoples R China
Personalized Dialogue Response Generation, which aims to emulate human-like and customized responses, has attracted considerable research interest. Recent advances in this field have integrated external knowledge to e...
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Contrastive Learning-Based Sequential Recommendation Model  13th
Contrastive Learning-Based Sequential Recommendation Model
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Zhang, Yuan Nuo, Minghua Jia, Xiaoyu Wang, Yao Inner Mongolia Univ Coll Comp Sci Hohhot 010021 Inner Mongolia Peoples R China Natl & Local Joint Engn Res Ctr Intelligent Infor Hohhot 010021 Inner Mongolia Peoples R China Inner Mongolia Key Lab Multilingual Artificial In Hohhot 010021 Inner Mongolia Peoples R China
Contrastive learning has demonstrated remarkable performance in sequential recommendation tasks. The core principle of it is to maximize consistency between the original and augmented data while increasing the distanc...
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Bulgarian Speech Resources in the CHILDES System  26th
Bulgarian Speech Resources in the CHILDES System
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26th International Conference on Speech and Computer
作者: Popova, Velka Popov, Dimitar Konstantin Preslavska Univ Shumen Univ Str 115 Shumen 9700 Bulgaria
The main aim of the article is to present the Bulgarian speech resources in the CHILDES automated computerized language data exchange system. The resources are organized into a corpus labeled Bulgarian LabLing Corpus ...
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Research on Named Entity Recognition in Ancient Chinese Based on Incremental Pre-training and Domain Lexicon  13th
Research on Named Entity Recognition in Ancient Chinese Base...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Kang, Wenjun Zuo, Jiali Dai, Qili Hu, Yiyu Wang, Mingwen Jiangxi Normal Univ Sch Comp & Informat Engn Nanchang Jiangxi Peoples R China Nanchang Inst Technol Sch Comp Informat Engn Nanchang Jiangxi Peoples R China Guangzhou Inst Sci & Technol Sch Comp Sci & Engn Guangzhou Peoples R China
Currently, there is limited research on ancient Chinese named entity recognition, primarily due to the scarcity of publicly available datasets for model training. We constructed a CMAG-NER dataset based on the "C...
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A Cross-Modal Correlation Fusion Network for Emotion Recognition in Conversations  13th
A Cross-Modal Correlation Fusion Network for Emotion Recogni...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Tang, Xiaolyu Cai, Guoyong Chen, Ming Yuan, Peicong Guilin Univ Elect Technol Guilin Peoples R China
The aim of Emotion Recognition in Conversations (ERC) is to predict the emotions conveyed in the utterances of a conversation. In this paper, we propose a Cross-Modal Correlation Fusion Network (CMCFN), which addresse...
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FacGPT: An Effective and Efficient Method for Evaluating Knowledge-Based Visual Question Answering  13th
FacGPT: An Effective and Efficient Method for Evaluating Kno...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Cheng, Sirui Zhang, Siyu Wu, Jiayi Lan, Muchen Sun, Yaoru Tongji Univ Dept Comp Sci & Technol Shanghai Peoples R China
Enhancing the accuracy of model evaluation accelerates the subsequent optimization process of large visual language models (LVLMs). However, evaluating the diversity of LVLM outputs is challenging. The long-form respo...
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