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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"
951 条 记 录,以下是931-940 订阅
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Survey on Extractive Text Summarization methods with Multi-Document Datasets  7
Survey on Extractive Text Summarization Methods with Multi-D...
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7th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018
作者: Varalakshmi K, P.N. Kallimani, Jagadish S. Department of Computer Science and Engineering M S Ramaiah Institute of Technology India
Text summarization has been one of the key research areas in natural language processing (NLP) for a while. The various methods to summarize one or more documents can be broadly classified into extractive and abstract... 详细信息
来源: 评论
Analyzing transfer learning impact in biomedical cross-lingual named entity recognition and normalization
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BMC BIOINFORMATICS 2021年 第SUPPL 1期22卷 601-601页
作者: Rivera-Zavala, Renzo M. Martinez, Paloma Univ Carlos III Madrid Comp Sci Dept Madrid Spain
Background The volume of biomedical literature and clinical data is growing at an exponential rate. Therefore, efficient access to data described in unstructured biomedical texts is a crucial task for the biomedical i... 详细信息
来源: 评论
基于知识图谱、TF-IDF和BERT模型的冬奥知识问答系统
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智能系统学报 2021年 第4期16卷 819-826页
作者: 罗玲 李硕凯 何清 杨骋骐 王宇洋恒 陈天宇 中国科学院计算技术研究所智能信息处理重点实验室 北京100190 中国科学院大学 北京100049
传统信息检索技术已经不能满足人们对信息获取效率的要求,智能问答系统应运而生,并成为自然语言处理领域一个非常重要的研究热点。本文针对中文的冬奥问答领域,提出了基于知识图谱、词频-逆文本频率指数(term frequency-inverse documen... 详细信息
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Construction of a Linked Data Set of COVID-19 Knowledge graphs: Development and Applications
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JMIR MEDICAL INFORMATICS 2022年 第5期10卷 e37215页
作者: Wang, Haofen Du, Huifang Qi, Guilin Chen, Huajun Hu, Wei Chen, Zhuo Tongji Univ Coll Design & Innovat 281 Fuxin Rd Shanghai 200092 Peoples R China Southeast Univ Sch Comp Sci & Engn Nanjing Peoples R China Zhejiang Univ Coll Comp Sci & Technol Hangzhou Peoples R China Nanjing Univ Natl Inst Healthcare Data Sci Nanjing Peoples R China
Background: With the continuous spread of COVID-19, information about the worldwide pandemic is exploding. Therefore, it is necessary and significant to organize such a large amount of information. As the key branch o... 详细信息
来源: 评论
Hybrid Approach to Crime Prediction using Deep learning
Hybrid Approach to Crime Prediction using Deep learning
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International Conference on Advances in Computing, Communications and Informatics
作者: Jazeem Azeez D. John Aravindhar Department of Computer Science & Engineering Hindustan Institute of Technology & Science
Prevention is better that Cure. Preventing a crime from occurring is better than investigating what or how the crime had occurred. Just like vaccination is given to a child to prevent disease, in today's world wit... 详细信息
来源: 评论
FAITHFUL EXPLANATIONS OF BLACK-BOX NLP MODELS USING LLM-GENERATED COUNTERFACTUALS
arXiv
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arXiv 2023年
作者: Gat, Yair Ori Calderon, Nitay Feder, Amir Chapanin, Alexander Sharma, Amit Reichart, Roi Faculty of Data and Decision Sciences Technion IIT Columbia University Data Science Institute United States Microsoft Research India India
Causal explanations of the predictions of NLP systems are essential to ensure safety and establish trust. Yet, existing methods often fall short of explaining model predictions effectively or efficiently and are often... 详细信息
来源: 评论
Exploiting Visual Relation and Multi-Grained Knowledge for Multimodal Relation Extraction
Exploiting Visual Relation and Multi-Grained Knowledge for M...
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International Joint Conference on Neural Networks (IJCNN)
作者: Qianru Shen Hailun Lin Huan Liu Zheng Lin Weiping Wang Institute of Information Engineering Chinese Academy of Sciences Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Key Laboratory of Cyberspace Security Defense Beijing China
Given a text and its related image, the multimodal relation extraction (MRE) task aims at predicting the correct semantic relation between two entities in the input text. Though certain advances have been made by rece... 详细信息
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面向中文的字词组合序列实体识别方法
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清华大学学报(自然科学版) 2023年 第9期63卷 1326-1338页
作者: 王庆人 王银子 仲红 张以文 安徽大学计算机科学与技术学院 合肥230093
作为信息抽取的核心任务,命名实体识别能够从文本中识别不同类型命名实体。得益于深度学习在字词表示、特征提取方面的应用,中文命名实体识别任务取得了丰富研究成果。然而,中文命名实体识别任务依旧面临词汇信息缺乏的挑战,主要表现为... 详细信息
来源: 评论
State Space Model for New-Generation Network Alternative to Transformers: A Survey
arXiv
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arXiv 2024年
作者: Wang, Xiao Wang, Shiao Ding, Yuhe Li, Yuehang Wu, Wentao Rong, Yao Kong, Weizhe Huang, Ju Li, Shihao Yang, Haoxiang Wang, Ziwen Jiang, Bo Li, Chenglong Wang, Yaowei Tian, Yonghong Tang, Jin School of Computer Science and Technology Anhui University Hefei230601 China School of Artificial Intelligence Anhui University Hefei230601 China Peng Cheng Laboratory Shenzhen China Harbin Institute of Technology [HITSZ Shenzhen China National Key Laboratory for Multimedia Information Processing School of Computer Science Peking University China School of Electronic and Computer Engineering Shenzhen Graduate School Peking University China
In the post-deep learning era, the Transformer architecture has demonstrated its powerful performance across pre-trained big models and various downstream tasks. However, the enormous computational demands of this arc... 详细信息
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Large-scale directional relationship extraction and resolution
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BMC BIOINFORMATICS 2008年 第Sup9期9卷 1-13页
作者: Giles, Cory B. Wren, Jonathan D. Oklahoma Med Res Fdn Arthritis & Immunol Res Program Oklahoma City OK 73104 USA
Background: Relationships between entities such as genes, chemicals, metabolites, phenotypes and diseases in MEDLINE are often directional. That is, one may affect the other in a positive or negative manner. Detection... 详细信息
来源: 评论