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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"
947 条 记 录,以下是181-190 订阅
排序:
Chinese Named Entity Recognition Base on Multi-Metadata Embedding and Global Pointer  3
Chinese Named Entity Recognition Base on Multi-Metadata Embe...
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3rd International Conference on Electronic Information Engineering and Computer Science, EIECS 2023
作者: Wang, Shulai Liu, Fang Huang, Biao Li, Jialun Feng, Ping Changchun University College of Cybersecurity Jilin Province Changchun China Baicheng Medical College Clinical Medicine Jilin Province Baicheng China Changchun University Jilin Province Changchun China
Named Entity Recognition (NER) aims to identify entities from unstructured text and is an important subtask in natural language processing and knowledge graph construction. Existing NER methods mostly use Conditional ... 详细信息
来源: 评论
SegRewardgraph: unsupervised teaching video story segmentation method based on subtitle length-rewarding strategy and semantic relatedness graphs
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MULTIMEDIA TOOLS AND APPLICATIONS 2023年 第17期83卷 52509页
作者: Liu, Zhi Chen, Hao Kong, Xi Wen, Chaodong Chen, Jia Liu, Sannyuya Yang, Zongkai Cent China Normal Univ Natl Engn Res Ctr Elearning Wuhan 430079 Hubei Peoples R China Cent China Normal Univ Natl Engn Lab Educ Big Data Wuhan 430079 Hubei Peoples R China Cent China Normal Univ Fac Artificial Intelligence Educ Sch Educ Informat Technol Wuhan 430079 Hubei Peoples R China
Story segmentation plays an important role in helping students quickly locate key knowledge points within massive and fragmented teaching video resources. It also serves as the basis for accurate searching of valuable... 详细信息
来源: 评论
Empowering Hardware Security with LLM: The Development of a Vulnerable Hardware Database
Empowering Hardware Security with LLM: The Development of a ...
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International Symposium on Hardware Oriented Security and Trust (HOST)
作者: Saha, Dipayan Yahyaei, Katayoon Saha, Sujan Kumar Tehranipoor, Mark Farahmandi, Farimah Univ Florida Dept Elect & Comp Engn Gainesville FL 32611 USA
The scarcity of comprehensive databases and benchmarks in hardware design specifically tailored for security tasks is a significant challenge in the community. Such databases are crucial for developing machine learnin... 详细信息
来源: 评论
iLPCtd: Interpretable Link Prediction on Continuous Time Durations with Extracted Logical Rules from Temporal Knowledge graphs  7
iLPCtd: Interpretable Link Prediction on Continuous Time Dur...
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7th International Conference on Machine Learning and natural language processing, MLNLP 2024
作者: Yang, Shijie Du, Shaochong Lu, Yongzhan Huo, Hong Fang, Tao Shanghai Jiao Tong University Department of Automation Shanghai China
Temporal Knowledge graphs (TKGs) augment traditional knowledge graphs by integrating temporal attributes, transforming them into a more nuanced and dynamic data structure capable of modeling real-world events. Represe... 详细信息
来源: 评论
TASTE: Teaching Large language Models to Translate through Self-Reflection  62
TASTE: Teaching Large Language Models to Translate through S...
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62nd Annual Meeting of the Association-for-Computational-Linguistics (ACL) / Student Research workshop (SRW)
作者: Wang, Yutong Zeng, Jiali Liu, Xuebo Meng, Fandong Zhou, Jie Zhang, Min Harbin Inst Technol Inst Comp & Intelligence Shenzhen Peoples R China Tencent Inc Pattern Recognit Ctr WeChat AI Shenzhen Peoples R China
Large language models (LLMs) have exhibited remarkable performance in various natural language processing tasks. Techniques like instruction tuning have effectively enhanced the proficiency of LLMs in the downstream t... 详细信息
来源: 评论
Textgraphs 2022 Shared Task on natural language Premise Selection  16
TextGraphs 2022 Shared Task on Natural Language Premise Sele...
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16th workshop on graph-based methods for natural language processing, Textgraphs 2022, in conjunction with the 29th International Conference on Computational Linguistics, COLING 2022
作者: Valentino, Marco Ferreira, Deborah Thayaparan, Mokanarangan Freitas, André Ustalov, Dmitry Idiap Research Institute Switzerland University of Manchester United Kingdom Toloka Serbia
The Shared Task on natural language Premise Selection (NLPS) asks participants to retrieve the set of premises that are most likely to be useful for proving a given mathematical statement from a supporting knowledge b... 详细信息
来源: 评论
Knowledge graph based Mutual Attention for Machine Reading Comprehension over Anti-Terrorism Corpus
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Data Intelligence 2023年 第3期5卷 685-706页
作者: Feng Gao Jin Hou Jinguang Gu Lihua Zhang School of Computer Science and Technology Wuhan University of Science and TechnologyWuhan 430065Hubei The Key Laboratory of Rich-Media Knowledge Organization and Service of Digital Publishing Content Insitute of Scientic and Technical Information of ChinaBeijing 100038China Wuhan University of Science and Technology Big Data Science and Engineering Research Institute Wuhan 430065Hubei Eastchina Jiaotong University Nanchang 330013Jiangxi
Machine reading comprehension has been a research focus in natural language processing and intelligence ***,there is a lack of models and datasets for the MRC tasks in the anti-terrorism ***,current research lacks the... 详细信息
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Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules
Logical Neural Networks for Knowledge Base Completion with E...
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2022 Conference on Empirical methods in natural language processing, EMNLP 2022
作者: Sen, Prithviraj de Carvalho, Breno W.S.R. Abdelaziz, Ibrahim Kapanipathi, Pavan Roukos, Salim Gray, Alexander Amazon IBM Research
Knowledge base completion (KBC) has benefitted greatly by learning explainable rules in an human-interpretable dialect such as first-order logic. Rule-based KBC has so far, mainly focussed on learning one of two types... 详细信息
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What Changed? Investigating Debiasing methods using Causal Mediation Analysis  4
What Changed? Investigating Debiasing Methods using Causal M...
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4th workshop on Gender Bias in natural language processing, GeBNLP 2022
作者: Jeoung, Sullam Diesner, Jana University of Illinois-Urbana Champaign United States
Previous work has examined how debiasing language models affect downstream tasks, specifically, how debiasing techniques influence task performance and whether debiased models also make impartial predictions in downst... 详细信息
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Enhancing Multilingual language Model with Massive Multilingual Knowledge Triples
Enhancing Multilingual Language Model with Massive Multiling...
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2022 Conference on Empirical methods in natural language processing, EMNLP 2022
作者: Liu, Linlin Li, Xin He, Ruidan Bing, Lidong Joty, Shafiq Si, Luo DAMO Academy Alibaba Group China Nanyang Technological University Singapore Salesforce Research
Knowledge-enhanced language representation learning has shown promising results across various knowledge-intensive NLP tasks. However, prior methods are limited in efficient utilization of multilingual knowledge graph... 详细信息
来源: 评论