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检索条件"任意字段=International Conference on Natural Language Processing and Knowledge Engineering"
27241 条 记 录,以下是311-320 订阅
排序:
Joint Entity and Relation Extraction with Self-prior Attention for Dual Set Prediction Networks  3rd
Joint Entity and Relation Extraction with Self-prior Attenti...
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3rd international conference on Machine Learning, Cloud Computing and Intelligent Mining, MLCCIM 2024
作者: Wang, Jie Zhang, Juan Shanghai University of Engineering Science Shanghai China
Joint extraction of entity and relation represents a critical component in natural language processing, exerting a direct influence on the quality of ensuing knowledge graph construction. Although existing methodologi... 详细信息
来源: 评论
Using language Models for assessment of users’ satisfaction with their partner in Persian  1
Using Language Models for assessment of users’ satisfaction...
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1st Workshop on language Models for Low-Resource languages, LoResLM 2025 - co-located at the 31st international conference on Computational Linguistics, COLING 2025
作者: Habibzadeh, Zahra Asadpour, Masoud School of Electrical Computer Engineering College of Engineering University of Tehran Iran
Sentiment analysis, the process of gauging user attitudes and emotions through their textual data, including social media posts and other forms of communication, is a valuable tool for informed decision-making. In oth... 详细信息
来源: 评论
Towards Complex Ontology Alignment Using Large language Models  6th
Towards Complex Ontology Alignment Using Large Language Mode...
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6th international conference on knowledge Graphs and Semantic Web, KGSWC 2024
作者: Amini, Reihaneh Norouzi, Sanaz Saki Hitzler, Pascal Amini, Reza Kansas State University ManhattanKS United States Wright State University DaytonOH United States
Ontology alignment, a critical process in the Semantic Web for detecting relationships between different ontologies, has traditionally focused on identifying so-called "simple" 1-to-1 relationships through c... 详细信息
来源: 评论
Synthetic pseudo-text aided radar interference recognition: A few-shot learning approach  16
Synthetic pseudo-text aided radar interference recognition: ...
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16th international conference on Signal processing Systems, ICSPS 2024
作者: Chen, Kunjie Jin, Benzhou Xiao, Jianghao Liu, Jingyi College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing China China Telecom Corporation Limited Jiangsu Branch Nanjing China
In practical scenarios of radar interference recognition, it is challenging to acquire sufficient instances of certain interference patterns, yielding a limited dataset for training recognition models. This scarcity o... 详细信息
来源: 评论
Deep Learning Approach to Identify and Classify Arabic Verbal Multi-word Expressions  3rd
Deep Learning Approach to Identify and Classify Arabic Verba...
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3rd international conference on language processing and knowledge Management-LPKM
作者: Bsissa, Meniara Keskes, Iskandar Mohamed, Najet Hadj Univ Sfax Fac Econ & Management Sfax FSEGS MIRACL Lab Sfax Tunisia Univ Tours LIFAT Tours France
This paper focuses on the identification and classification of Arabic Verbal Multi-Word Expressions (VMWE), which are combinations of words with a unitary meaning and containing at least one verb. We describe our cont... 详细信息
来源: 评论
Leveraging AI to Ensure Authenticity in Student Assignments: A knowledge-Based Validation and Evaluation Framework  5
Leveraging AI to Ensure Authenticity in Student Assignments:...
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5th international conference on Advanced Research in Computing, ICARC 2025
作者: Hondarangala, Chinthaka Wickramaarachchi, Dilani University of Kelaniya Department of Industrial Management Sri Lanka
This research explores the development of an AI-driven assessment system designed to evaluate student knowledge while minimizing cheating in educational settings. The system operates in two distinct phases. In Phase 1... 详细信息
来源: 评论
Customer-Based Opinion Analysis Using Clustering and Classification Techniques  5th
Customer-Based Opinion Analysis Using Clustering and Classif...
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5th international conference on Data Science, Machine Learning and Applications
作者: Ahad, Abdul Riyazuddin Sadiq, Jaffar Raju, Basava Lakshmi, Rama Anurag Univ Dept AI Hyderabad India Anurag Univ Dept IT Hyderabad India Sreenidhi Inst Sci & Tech Dept CSE DS Hyderabad India SRKR Engn Coll Dept CSD Bhimavaram India
This article accentuates the opinion examination in view of the order of flipkart client surveys. Feeling Examination known as Feeling Man-made consciousness or Assessment Mining. Computerized reasoning (artificial in... 详细信息
来源: 评论
Improving Arabic Fake News Detection Across Context-Aware Attention Deep Model Based on natural language processing  3rd
Improving Arabic Fake News Detection Across Context-Aware At...
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3rd international conference on language processing and knowledge Management-LPKM
作者: Khudair, Enas Tariq Lazzez, Onsa Hamdani, Tarek M. Sadiq, Ahmed T. Alimi, Adel M. Univ Sfax Natl Engn Sch Sfax ENIS REGIM Lab Res Grp Intelligent Machines BP 1173 Sfax 3038 Tunisia Ind 4 0 Res Lab Polytech Sfax IPSAS Ave 5 August Rue Said Aboubaker Sfax 3002 Tunisia Univ Monastir Higher Inst Comp Sci Mahdia ISIMa Dept Comp Sci Monastir Tunisia Univ Technol Iraq Dept Elect & Elect Engn Sci Baghdad Iraq Univ Johannesburg Fac Engn & Built Environm Johannesburg South Africa
With the enormous growth of social data in recent years, fake news detection has gained increasing research attention and has been widely explored in various languages. Arabic language nature imposes various challenge... 详细信息
来源: 评论
Improve the Quality of Machine Translation in Low-Resource language Pairs  3rd
Improve the Quality of Machine Translation in Low-Resourc...
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3rd international conference on Advances in Information and Communication Technology, ICTA 2024
作者: Nguyen-Tien, Ha Nguyen-Ngoc, Phuc Nguyen-Van, Vinh Kim, Thai Dinh Hung Vuong University Phutho Viet Nam University of Engineering and Technology - VNU Hanoi Viet Nam International School Vietnam National University Hanoi100000 Viet Nam
Machine translation is a hard problem in natural language processing (NLP). Today, based on deep learning, the quality of machine translation systems is increasing strongly in rich-resource language pairs, but it is l... 详细信息
来源: 评论
SACR: Self-training with Saliency-Augmented Consistency Regularization for Few-Shot Learners
SACR: Self-training with Saliency-Augmented Consistency Regu...
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2025 IEEE international conference on Acoustics, Speech, and Signal processing, ICASSP 2025
作者: Feng, Yanyan Zhou, Yue Xue, Yun Li, Fenghuan Lin, Zehong School of Electronics and Information Engineering South China Normal University Foshan China Department of Artiffcial Intelligence School of Informatics Xiamen University Xiamen China School of Computer Science and Technology Guangdong University of Technology Guangzhou China
Pre-trained language models have made significant strides in natural language processing tasks, enabling flexible fine-tuning for downstream applications. However, in few-shot learning scenarios, pre-trained models fa... 详细信息
来源: 评论