Domain Adaptation in Nested Named Entity Recognition From Scientific Articles in Agriculture

Συγγραφείς: Doan Thai Binh Phan, Phuoc Vinh Linh Le, Ngoc Hoang Luong, M. Tahar Kechadi, Hung Q. Ngo

Πηγή: Proceedings of the 12th International Symposium on Information and Communication Technology. :48-55

Θεματικοί όροι: Artificial intelligence, Information extraction, Economics, Oceanography, Mathematical analysis, Data science, Task (project management), Context (archaeology), Artificial Intelligence, Multi-label Text Classification in Machine Learning, FOS: Mathematics, Information retrieval, Natural Language Processing, 2. Zero hunger, Domain (mathematical analysis), Geography, Baseline (sea), Natural language processing, Geology, Statistical Machine Translation and Natural Language Processing, FOS: Earth and related environmental sciences, 15. Life on land, Named Entity Recognition, Computer science, Management, Archaeology, Categorization, Computer Science, Physical Sciences, Named-entity recognition, Mathematics

A Novel Classification Algorithm Based on the Synergy Between Dynamic Clustering with Adaptive Distances and K-Nearest Neighbors: A novel classification algorithm based on the synergy between dynamic clustering with adaptive distances and K-nearest neighbors

Συγγραφείς: Sabri, Mohammed, Verde, Rosanna, Balzanella, Antonio, Maturo, Fabrizio, Tairi, Hamid, Yahyaouy, Ali, Riffi, Jamal

Πηγή: Journal of Classification. 41:264-288

Θεματικοί όροι: Artificial intelligence, 02 engineering and technology, Pattern recognition (psychology), 7. Clean energy, K-nearest neighbors, Clustering Algorithms, Cluster analysis, Artificial Intelligence, Document Clustering, Multi-label Text Classification in Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, adaptive distances, Canopy clustering algorithm, Data mining, Data Clustering Techniques and Algorithms, Classification and discrimination, cluster analysis (statistical aspects), Spectral Clustering, 4. Education, dynamic clustering, Correlation clustering, combinatorial classification, 15. Life on land, k-means clustering, Semi-supervised Clustering, Computer science, Nearest-neighbor chain algorithm, Algorithm, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, k-nearest neighbors algorithm, Face Recognition and Dimensionality Reduction Techniques, Density-based Clustering, Mathematics

Περιγραφή αρχείου: application/xml

Arabic Ontology for Hadith texts - A survey

Συγγραφείς: Mariam Muhammed, Shahira Shaaban Azab, Najwa F.Ali, Mervat Gheith

Πηγή: The Egyptian Journal of Language Engineering. 11:1-14

Θεματικοί όροι: Syntax-based Translation Models, Arabic, Ontology, Natural language processing, 4. Education, Linguistics, Statistical Machine Translation and Natural Language Processing, Epistemology, Computer science, Language Modeling, FOS: Philosophy, ethics and religion, Inorganic Chemistry, Chemistry, Philosophy, Artificial Intelligence, Homogeneous Catalysis with Transition Metals, FOS: Chemical sciences, Part-of-Speech Tagging, Multi-label Text Classification in Machine Learning, Computer Science, Physical Sciences, FOS: Languages and literature, Information retrieval, Text Classification

An Interpretable Fuzzy Graph Learning for Label Propagation Assisting Data Classification

Συγγραφείς: Cherukula Madhu, M. S. Sudhakar 0001

Πηγή: IEEE Transactions on Fuzzy Systems. 32:1331-1345

Θεματικοί όροι: Intuitionistic Fuzzy Sets, Artificial intelligence, Coordinate descent, Social Sciences, Multi-Criteria Decision Making, Management Science and Operations Research, Pattern recognition (psychology), Computer science, Feature vector, Graph, Decision Sciences, Urban Studies, Theoretical computer science, Fuzzy Sets, Artificial Intelligence, Outlier, Multi-label Text Classification in Machine Learning, Computer Science, Physical Sciences, Feature selection, Machine learning, Interpretability, Dynamics of Urban Structure through Spatial Network Analysis, Multi-label Learning, Data mining

Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer

Συγγραφείς: Muhammad Waqas, Muhammad Atif Tahir, Muhammad Danish Author, Somaya Al‐Maadeed, Ahmed Bouridane, Jia Wu

Πηγή: Neural Computing and Applications. 36:6659-6680

Θεματικοί όροι: Pooling, Artificial intelligence, Shape Matching, Bag representation selection, FOS: Political science, FOS: Law, 02 engineering and technology, Pattern recognition (psychology), Quantum mechanics, 7. Clean energy, Computational Science and Engineering, Selection (genetic algorithm), Image Feature Retrieval and Recognition Techniques, Artificial Intelligence, Shape Matching and Object Recognition, Multi-label Text Classification in Machine Learning, Machine learning, Vision transformers, 0202 electrical engineering, electronic engineering, information engineering, Multi-label Learning, Political science, Object Recognition, Attention-based pooling, Transformer, Physics, 4. Education, Politics, Feature learning, Voltage, Cross-Modal Retrieval, 15. Life on land, Computer science, Multiple-instance learning (MIL), Computer Science, Physical Sciences, Feature selection, Computer Vision and Pattern Recognition, Representation (politics), Law, Feature Matching

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85185142836&origin=inward
https://hdl.handle.net/10576/60021

The one-sayers model for the Extended Crosswise design: The one-sayers model for the extended crosswise design

Συγγραφείς: Maarten Cruyff, Khadiga H. A. Sayed, Andrea Petróczi, P.G.M. van der Heijden

Πηγή: Journal of the Royal Statistical Society Series A: Statistics in Society. 187:882-899

Θεματικοί όροι: Statistics and Probability, Survey Sampling, self-protection, doping, Applications of statistics, cheating, 01 natural sciences, 0504 sociology, Artificial Intelligence, Cheating, Multi-label Text Classification in Machine Learning, Doping, FOS: Mathematics, Self-protection, 0101 mathematics, Statistical Methods for Sensitive Survey Questions, 10. No inequality, Response bias, randomized response, 05 social sciences, Physical Sciences, Computer Science, Randomized response, Model-Based Clustering with Mixture Models, Mathematics, response bias

Περιγραφή αρχείου: application/xml

Quran reciter identification using NASNetLarge

Συγγραφείς: Hebat-Allah Saber, Ahmed Younes, Mohammad Osman, Islam Elkabani

Πηγή: Neural Computing and Applications. 36:6559-6573

Θεματικοί όροι: Neural Machine Translation, Artificial intelligence, 4. Education, Botany, 02 engineering and technology, Statistical Machine Translation and Natural Language Processing, Computer science, Identification (biology), Machine Translation, Computational Science and Engineering, Artificial Intelligence, Multi-label Text Classification in Machine Learning, Computer Science, Physical Sciences, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Biology, Natural Language Processing

A HYBRID FEATURE SELECTION APPROACH FOR ROMAN URDU TEXT CLASSIFICATION

Συγγραφείς: Waqas Azeem, Aziza Chakir

Πηγή: Journal of Advancement in Computing. 2:39-44

Θεματικοί όροι: Artificial intelligence, Feature (linguistics), Natural language processing, 4. Education, Linguistics, Pattern recognition (psychology), 16. Peace & justice, Urdu, Computer science, FOS: Philosophy, ethics and religion, Philosophy, Selection (genetic algorithm), Artificial Intelligence, Multi-label Text Classification in Machine Learning, Computer Science, Physical Sciences, Feature selection, FOS: Languages and literature, Feature Selection, Text Classification

Unravelling Emotional Tones: A Hybrid Optimized Model for Sentiment Analysis in Tamil Regional Languages

Συγγραφείς: M. Sangeetha, K. Nimala

Πηγή: Journal of Machine and Computing. :114-126

Θεματικοί όροι: Tamil, Artificial intelligence, Ambiguity, Support vector machine, 02 engineering and technology, 01 natural sciences, 7. Clean energy, Sentiment analysis, Identification (biology), Artificial Intelligence, Aspect-based Sentiment Analysis, Global Positioning System, 0103 physical sciences, Multi-label Text Classification in Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Sentiment Analysis, Psychology, 10. No inequality, Biology, Hindi, Naive Bayes classifier, Adaptation (eye), Natural language processing, 4. Education, Botany, Ambiguity resolution, Linguistics, Computer science, FOS: Philosophy, ethics and religion, Programming language, Automatic Keyword Extraction from Textual Data, FOS: Psychology, Philosophy, Sentiment Analysis and Opinion Mining, Natural language, Emotion Recognition, GNSS applications, Computer Science, Physical Sciences, 8. Economic growth, FOS: Languages and literature, Telecommunications, Language identification, Neuroscience

Aspect Based Sentiment Analysis: Feature Extraction using Latent Dirichlet Allocation (LDA) and Term Frequency - Inverse Document Frequency (TF-IDF) in Machine Learning (ML)

Συγγραφείς: Shakirah Mohd Sofi, Ali Selamat

Πηγή: Malaysian Journal of Information and Communication Technology (MyJICT). :169-179

Θεματικοί όροι: Artificial intelligence, Text Mining, Feature (linguistics), Latent Dirichlet allocation, Geometry, Pattern recognition (psychology), Twitter Sentiment, Quantum mechanics, Term (time), tf–idf, Topic model, Artificial Intelligence, Aspect-based Sentiment Analysis, Multi-label Text Classification in Machine Learning, Sentiment Analysis, FOS: Mathematics, Natural language processing, Physics, Linguistics, Computer science, FOS: Philosophy, ethics and religion, 3. Good health, Automatic Keyword Extraction from Textual Data, Philosophy, Sentiment Analysis and Opinion Mining, Computer Science, Physical Sciences, FOS: Languages and literature, Feature extraction, Inverse, Mathematics

A Self-enhancement Multitask Framework for Unsupervised Aspect Category Detection

Συγγραφείς: Thi-Nhung Nguyen, Hoang Ngo, Kiem-Hieu Nguyen, Tuan-Dung Cao

Πηγή: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. :8043-8054

Θεματικοί όροι: FOS: Computer and information sciences, Artificial intelligence, Unsupervised Approach, Economics, FOS: Political science, Set (abstract data type), FOS: Law, Noise (video), Epistemology, Pattern recognition (psychology), Quantum mechanics, Term (time), Task (project management), Artificial Intelligence, Multi-label Text Classification in Machine Learning, Machine learning, Image (mathematics), Feature Selection, Multi-label Learning, Political science, Natural Language Processing, Computer Science - Computation and Language, Topic Modeling, Natural language processing, Physics, Word Representation, Politics, Computer science, FOS: Philosophy, ethics and religion, Management, Programming language, Automatic Keyword Extraction from Textual Data, Philosophy, Multi-task learning, Computer Science, Physical Sciences, Quality (philosophy), Computation and Language (cs.CL), Representation (politics), Law, Embedding

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2311.09708

Mao-Zedong at SemEval-2023 Task 4: Label Represention Multi-Head Attention Model with Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification

Συγγραφείς: Zhang Che, Pingan Liu, Z. J. Xiao, Haojun Fei

Πηγή: Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023). :426-432

Θεματικοί όροι: FOS: Computer and information sciences, Artificial intelligence, Economics, Sequence-to-Sequence Learning, Semantic Similarity, Quantum mechanics, Task (project management), Head (geology), Artificial Intelligence, Multi-label Text Classification in Machine Learning, Multi-label Learning, Natural Language Processing, Computer Science - Computation and Language, Natural language processing, Physics, Word Representation, Mechanism (biology), Geomorphology, Geology, FOS: Earth and related environmental sciences, Named Entity Recognition, Computer science, Management, Automatic Keyword Extraction from Textual Data, Computer Science, Physical Sciences, k-nearest neighbors algorithm, Computation and Language (cs.CL), SemEval

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2307.05174

Debiasing Generative Named Entity Recognition by Calibrating Sequence Likelihood

Συγγραφείς: Xiao Yu, Yongqiang Zhao, Wenhao Wu, Sujian Li

Πηγή: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). :1137-1148

Θεματικοί όροι: Cognitive science, Artificial intelligence, Generative grammar, Sequence-to-Sequence Learning, Flexibility (engineering), Epistemology, Debiasing, Pattern recognition (psychology), Oceanography, Semantic Similarity, Artificial Intelligence, Multi-label Text Classification in Machine Learning, Machine learning, FOS: Mathematics, Genetics, Psychology, Biology, Natural Language Processing, Baseline (sea), Statistics, Geology, Statistical Machine Translation and Natural Language Processing, FOS: Earth and related environmental sciences, Named Entity Recognition, Computer science, Language Modeling, FOS: Philosophy, ethics and religion, FOS: Psychology, Philosophy, Dependency Parsing, FOS: Biological sciences, Computer Science, Physical Sciences, Simple (philosophy), Mathematics, Sequence (biology), Generative model

CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairs

Συγγραφείς: Abhik Bhattacharjee, Tahmid Hasan, Wasi Uddin Ahmad, Yuanfang Li, Yong‐Bin Kang, Rifat Shahriyar

Πηγή: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :2541-2564

Θεματικοί όροι: FOS: Computer and information sciences, Neural Machine Translation, Artificial intelligence, Volume (thermodynamics), Automatic summarization, 02 engineering and technology, Quantum mechanics, 01 natural sciences, Machine Translation, Artificial Intelligence, Multi-label Text Classification in Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Multilingual Neural Machine Translation, Biology, Natural Language Processing, 0105 earth and related environmental sciences, Computer Science - Computation and Language, Ecology, Topic Modeling, Natural language processing, Physics, Linguistics, Statistical Machine Translation and Natural Language Processing, Computer science, Fang, Language Modeling, FOS: Philosophy, ethics and religion, Philosophy, FOS: Biological sciences, Computer Science, Physical Sciences, FOS: Languages and literature, Computation and Language (cs.CL)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2112.08804

Sparse Universal Transformer

Συγγραφείς: Shawn Tan, Yikang Shen, Zhenfang Chen, Aaron Courville, Chuang Gan

Πηγή: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. :169-179

Θεματικοί όροι: FOS: Computer and information sciences, Neural Machine Translation, Artificial intelligence, Computer Science - Artificial Intelligence, Generalization, Geometry, Mathematical analysis, Quantum mechanics, Scaling, Theoretical computer science, Inference, Artificial Intelligence, Computer engineering, Multi-label Text Classification in Machine Learning, FOS: Mathematics, Natural Language Processing, Transformer, Computer Science - Computation and Language, Physics, Voltage, Statistical Machine Translation and Natural Language Processing, Computer science, Language model, Algorithm, Artificial Intelligence (cs.AI), Computer Science, Physical Sciences, Computation, Computation and Language (cs.CL), Mathematics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2310.07096

More than Classification: A Unified Framework for Event Temporal Relation Extraction

Συγγραφείς: Qiaoli Huang, Yutong Hu, Shengqi Zhu, Yansong Feng, Chang Liu, Dongyan Zhao

Πηγή: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :9631-9646

Θεματικοί όροι: FOS: Computer and information sciences, Relationship extraction, Relation (database), Artificial intelligence, Economics, Extraction, Leverage (statistics), Quantum mechanics, Complex event processing, Task (project management), Theoretical computer science, Artificial Intelligence, Multi-label Text Classification in Machine Learning, Multi-label Learning, Event (particle physics), Data mining, Natural Language Processing, Computer Science - Computation and Language, Topic Modeling, Physics, Named Entity Recognition, Computer science, Programming language, Management, Process (computing), Automatic Keyword Extraction from Textual Data, Computer Science, Physical Sciences, Computation and Language (cs.CL)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2305.17607

ACROSS: An Alignment-based Framework for Low-Resource Many-to-One Cross-Lingual Summarization

Συγγραφείς: Peiyao Li, Zhengkun Zhang, Jun Wang, Lipeng Zhang, Adam Jatowt, Zhenglu Yang

Πηγή: Findings of the Association for Computational Linguistics: ACL 2023. :2458-2472

Θεματικοί όροι: Artificial intelligence, Economics, Resource (disambiguation), Automatic summarization, Oceanography, Data science, Task (project management), Artificial Intelligence, Multi-label Text Classification in Machine Learning, Information retrieval, Multi-label Learning, Natural Language Processing, Computer network, Topic Modeling, Baseline (sea), Natural language processing, Geology, Statistical Machine Translation and Natural Language Processing, FOS: Earth and related environmental sciences, Computer science, Language Modeling, Management, Programming language, Computer Science, Physical Sciences, Pipeline (software), Consistency (knowledge bases)

AlphaBrains at WojoodNER shared task: Arabic Named Entity Recognition by Using Character-based Context-Sensitive Word Representations

Συγγραφείς: Toqeer Ehsan, Amjad Ali, Ala Al‐Fuqaha

Πηγή: Proceedings of ArabicNLP 2023. :783-788

Θεματικοί όροι: Syntax-based Translation Models, Artificial intelligence, Character (mathematics), Economics, Word (group theory), Geometry, Task (project management), Context (archaeology), Artificial Intelligence, Multi-label Text Classification in Machine Learning, FOS: Mathematics, Multi-label Learning, Biology, Natural Language Processing, Arabic, Topic Modeling, Natural language processing, Paleontology, Linguistics, Statistical Machine Translation and Natural Language Processing, Named Entity Recognition, Computer science, Language Modeling, FOS: Philosophy, ethics and religion, Management, Philosophy, Computer Science, Physical Sciences, FOS: Languages and literature, Mathematics

Σύνδεσμος πρόσβασης: https://cris.vtt.fi/en/publications/ddb711e4-7cb2-49b9-9c61-8db64fce7ac8

Ontology based Feature Selection and Weighting for Text classification using Machine Learning

Συγγραφείς: Djelloul Bouchiha, Abdelghani Bouziane, Noureddine Doumi

Πηγή: Journal of Information Technology and Computing. 4:1-14

Θεματικοί όροι: FOS: Computer and information sciences, Artificial intelligence, Support vector machine, Class (philosophy), Feature (linguistics), 02 engineering and technology, Epistemology, Weighting, Pattern recognition (psychology), Feature vector, Web Data Extraction and Crawling Techniques, Machine Learning Algorithms, Selection (genetic algorithm), Artificial Intelligence, Multi-label Text Classification in Machine Learning, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Syntax, Feature Selection, Multi-label Learning, Content Adaptation, Text Classification, Preprocessor, Ontology, Natural language processing, 4. Education, Linguistics, Computer science, FOS: Philosophy, ethics and religion, Automatic Keyword Extraction from Textual Data, Philosophy, Computer Science, Physical Sciences, Feature selection, FOS: Languages and literature, Medicine, Radiology, Information Systems

Sentiment analysis of sarcasm detection in social media

Συγγραφείς: S.K. Alaramma, Adamu Adamu Habu, Brian Yau, Abdullahi Gamsha Madaki

Πηγή: Gadau Journal of Pure and Allied Sciences. 2:76-82

Θεματικοί όροι: Irony, Artificial intelligence, Support vector machine, Social psychology, 01 natural sciences, Social media, Sentiment analysis, Feeling, Context (archaeology), Artificial Intelligence, Aspect-based Sentiment Analysis, Multi-label Text Classification in Machine Learning, Mood, Machine learning, 0502 economics and business, Sentiment Analysis, Psychology, Biology, 0105 earth and related environmental sciences, Sarcasm, Naive Bayes classifier, Natural language processing, 05 social sciences, Paleontology, Linguistics, 16. Peace & justice, Computer science, FOS: Philosophy, ethics and religion, Automatic Keyword Extraction from Textual Data, FOS: Psychology, World Wide Web, Philosophy, Sentiment Analysis and Opinion Mining, Emotion Recognition, Computer Science, Physical Sciences, FOS: Languages and literature