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检索条件"任意字段=Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing"
955 条 记 录,以下是71-80 订阅
排序:
Enhancing Scholarly Understanding: A Comparison of Knowledge Injection Strategies in Large language Models
Enhancing Scholarly Understanding: A Comparison of Knowledge...
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2023 workshop on Deep Learning for Knowledge graphs, DL4KG 2023
作者: Cadeddu, Andrea Chessa, Alessandro De Leo, Vincenzo Fenu, Gianni Motta, Enrico Osborne, Francesco Recupero, Diego Reforgiato Salatino, Angelo Secchi, Luca Linkalab s.r.l. Cagliari Italy Department of Mathematics and Computer Science University of Cagliari Cagliari Italy Knowledge Media Institute The Open University Milton Keynes United Kingdom Department of Business and Law University of Milano Bicocca Milan Italy
The use of transformer-based models like BERT for natural language processing has achieved remarkable performance across multiple domains. However, these models face challenges when dealing with very specialized domai... 详细信息
来源: 评论
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed graphs  24
Pre-Training and Prompting for Few-Shot Node Classification ...
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30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
作者: Zhao, Huanjing Yang, Beining Cen, Yukuo Ren, Junyu Zhang, Chenhui Dong, Yuxiao Kharlamov, Evgeny Zhao, Shu Tang, Jie Tsinghua Univ Beijing Peoples R China Univ Edinburgh Edinburgh Midlothian Scotland Zhipu AI Beijing Peoples R China Bosch Ctr Artificial Intelligence Renningen Germany Anhui Univ Hefei Anhui Peoples R China
The text-attributed graph (TAG) is one kind of important real-world graph-structured data with each node associated with raw texts. For TAGs, traditional few-shot node classification methods directly conduct training ... 详细信息
来源: 评论
Energy Consumption Prediction for Manufacturing in Industrial IoT based on Heterogeneous GNN
Energy Consumption Prediction for Manufacturing in Industria...
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IEEE/CIC International Conference on Communications in China (ICCC)
作者: Su, Xuan Li, Mingyan Li, Qihao Chen, Chao Guo, Songtao Wang, Xu Chongqing Univ Coll Mech & Vehicle Engn Chongqing 400044 Peoples R China Chongqing Univ Coll Comp Sci Chongqing 400044 Peoples R China Minist Educ China Key Lab Syst Control & Informat Proc Shanghai Peoples R China Jilin Univ Coll Commun Engn Changchun 130015 Peoples R China
Energy consumption prediction plays a crucial role in green manufacturing for industry, providing a theoretical foundation for energy-saving planning, workshop scheduling, and process optimization. However, owing to t... 详细信息
来源: 评论
Story Point Level Classification by Text Level graph Neural Network  1
Story Point Level Classification by Text Level Graph Neural ...
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1st IEEE/ACM International workshop on natural language-based Software Engineering (NLBSE)
作者: Phan, Hung Jannesari, Ali Iowa State Univ Ames IA 50011 USA
Estimating the software projects' efforts developed by agile methods is important for project managers or technical leads. It provides a summary as a first view of how many hours and developers are required to com... 详细信息
来源: 评论
KG-Rank: Enhancing Large language Models for Medical QA with Knowledge graphs and Ranking Techniques  23
KG-Rank: Enhancing Large Language Models for Medical QA with...
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23rd Meeting of the ACL Special Interest Group on Biomedical natural language processing, BioNLP 2024
作者: Yang, Rui Liu, Haoran Marrese-Taylor, Edison Zeng, Qingcheng Ke, Yu He Li, Wanxin Cheng, Lechao Chen, Qingyu Caverlee, James Matsuo, Yutaka Li, Irene Duke-NUS Medical School Singapore Texas A&M University United States The University of Tokyo Japan Northwestern University United States Singapore General Hospital Singapore Zhejiang University China Zhejiang Lab China Yale University United States National Institutes of Health United States
Large language models (LLMs) have demonstrated impressive generative capabilities with the potential to innovate in medicine. However, the application of LLMs in real clinical settings remains challenging due to the l... 详细信息
来源: 评论
Towards the first Named Entity Recognition of Inuktitut for an Improved Machine Translation  3
Towards the First Named Entity Recognition of Inuktitut for ...
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3rd workshop on natural language processing for Indigenous languages of the Americas, AmericasNLP 2023, co-located with ACL 2023
作者: Le, Ngoc Tan Kasdi, Ikram Sadat, Fatiha Université du Québec à Montréal Canada
Named Entity Recognition is a crucial step to ensure good quality performance of several natural language processing applications and tools, including machine translation and information retrieval. Moreover, it is con... 详细信息
来源: 评论
Unleashing the Power of Emojis in Texts via Self-supervised graph Pre-Training
Unleashing the Power of Emojis in Texts via Self-supervised ...
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2024 Conference on Empirical methods in natural language processing, EMNLP 2024
作者: Zhang, Zhou Tan, Dongzeng Wang, Jiaan Chen, Yilong Xu, Jiarong Fudan University China Alibaba Group China
Emojis have gained immense popularity on social platforms, serving as a common means to supplement or replace text. However, existing data mining approaches generally either completely ignore or simply treat emojis as... 详细信息
来源: 评论
Hamiltonian deep neural network fostered sentiment analysis approach on product reviews
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SIGNAL IMAGE AND VIDEO processing 2024年 第4期18卷 3483-3494页
作者: Ajmeera, Narahari Kamakshi, P. JNTUH Univ Coll Engn Dept Comp Sci & Engn Manthani Telangana India Kakatiya Inst Technol & Sci Dept Informat Technol Warangal Telangana India
In recent times, online shopping has become commonly used method for consumers to make purchases and engage in consumption with the rapid advancement of Internet technology. Enhancing user satisfaction is achievable t... 详细信息
来源: 评论
BERTologyNavigator: Advanced Question Answering with BERT-based Semantics  1
BERTologyNavigator: Advanced Question Answering with BERT-ba...
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1st Scholarly QALD Challenge 2023 and 4th SeMantic Answer Type, Relation and Entity Prediction Tasks Challenge, Scholarly QALD 2023 and SemREC 2023
作者: Rajpal, Shreya Usbeck, Ricardo Universität Hamburg Hamburg Germany Vellore Institute of Technology Tamil Nadu Vellore India
The development and integration of knowledge graphs and language models has significance in artificial intelligence and natural language processing. In this study, we introduce the BERTologyNavigator- a two-phased sys... 详细信息
来源: 评论
CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge graph Question Answering
CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Com...
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2024 Conference on Empirical methods in natural language processing, EMNLP 2024
作者: Wu, Yike Huang, Yi Hu, Nan Hua, Yuncheng Qi, Guilin Chen, Jiaoyan Pan, Jeff Z. Southeast University Jiangsu Nanjing China Ministry of Education China China Mobile Research Institute Beijing China Monash University Melbourne Australia University of Manchester Manchester United Kingdom University of Edinburgh Edinburgh United Kingdom
Recent studies have explored the use of Large language Models (LLMs) with Retrieval Augmented Generation (RAG) for Knowledge graph Question Answering (KGQA). They typically require rewriting retrieved subgraphs into n... 详细信息
来源: 评论