Artigos de revistas sobre o tema "Semantic concepts extraction"
Crie uma referência precisa em APA, MLA, Chicago, Harvard, e outros estilos
Veja os 50 melhores artigos de revistas para estudos sobre o assunto "Semantic concepts extraction".
Ao lado de cada fonte na lista de referências, há um botão "Adicionar à bibliografia". Clique e geraremos automaticamente a citação bibliográfica do trabalho escolhido no estilo de citação de que você precisa: APA, MLA, Harvard, Chicago, Vancouver, etc.
Você também pode baixar o texto completo da publicação científica em formato .pdf e ler o resumo do trabalho online se estiver presente nos metadados.
Veja os artigos de revistas das mais diversas áreas científicas e compile uma bibliografia correta.
Huang, Jingxiu, Ruofei Ding, Xiaomin Wu, Shumin Chen, Jiale Zhang, Lixiang Liu e Yunxiang Zheng. "WERECE: An Unsupervised Method for Educational Concept Extraction Based on Word Embedding Refinement". Applied Sciences 13, n.º 22 (14 de novembro de 2023): 12307. http://dx.doi.org/10.3390/app132212307.
Texto completo da fonteLi, Dao Wang. "Research on Text Conceptual Relation Extraction Based on Domain Ontology". Advanced Materials Research 739 (agosto de 2013): 574–79. http://dx.doi.org/10.4028/www.scientific.net/amr.739.574.
Texto completo da fonteKatsadaki, Eirini, e Margarita Kokla. "Comparative Evaluation of Keyphrase Extraction Tools for Semantic Analysis of Climate Change Scientific Reports and Ontology Enrichment". AGILE: GIScience Series 5 (30 de maio de 2024): 1–7. http://dx.doi.org/10.5194/agile-giss-5-32-2024.
Texto completo da fonteAlArfaj, Abeer. "Towards relation extraction from Arabic text: a review". International Robotics & Automation Journal 5, n.º 5 (24 de dezembro de 2019): 212–15. http://dx.doi.org/10.15406/iratj.2019.05.00195.
Texto completo da fonteJi, Lei, Yujing Wang, Botian Shi, Dawei Zhang, Zhongyuan Wang e Jun Yan. "Microsoft Concept Graph: Mining Semantic Concepts for Short Text Understanding". Data Intelligence 1, n.º 3 (junho de 2019): 238–70. http://dx.doi.org/10.1162/dint_a_00013.
Texto completo da fontePapadias, Evangelos, Margarita Kokla e Eleni Tomai. "Educing knowledge from text: semantic information extraction of spatial concepts and places". AGILE: GIScience Series 2 (4 de junho de 2021): 1–7. http://dx.doi.org/10.5194/agile-giss-2-38-2021.
Texto completo da fonteHong Doan, Phuoc Thi, Ngamnij Arch-int e Somjit Arch-int. "A Semantic Framework for Extracting Taxonomic Relations from Text Corpus". International Arab Journal of Information Technology 17, n.º 3 (1 de maio de 2019): 325–37. http://dx.doi.org/10.34028/iajit/17/3/6.
Texto completo da fonteChahal, Poonam, Manjeet Singh e Suresh Kumar. "Semantic Analysis Based Approach for Relevant Text Extraction Using Ontology". International Journal of Information Retrieval Research 7, n.º 4 (outubro de 2017): 19–36. http://dx.doi.org/10.4018/ijirr.2017100102.
Texto completo da fonteAbbas, Asim, Muhammad Afzal, Jamil Hussain, Taqdir Ali, Hafiz Syed Muhammad Bilal, Sungyoung Lee e Seokhee Jeon. "Clinical Concept Extraction with Lexical Semantics to Support Automatic Annotation". International Journal of Environmental Research and Public Health 18, n.º 20 (9 de outubro de 2021): 10564. http://dx.doi.org/10.3390/ijerph182010564.
Texto completo da fonteArnold, Patrick, e Erhard Rahm. "Automatic Extraction of Semantic Relations from Wikipedia". International Journal on Artificial Intelligence Tools 24, n.º 02 (abril de 2015): 1540010. http://dx.doi.org/10.1142/s0218213015400102.
Texto completo da fonteLee, Hyewon, Soyoung Yoon e Ziyoung Park. "“SEMANTIC” in a Digital Curation Model". Journal of Data and Information Science 5, n.º 1 (22 de abril de 2020): 81–92. http://dx.doi.org/10.2478/jdis-2020-0007.
Texto completo da fonteJagan, Balaji, Ranjani Parthasarathi e T. V. Geetha. "Bootstrapping of Semantic Relation Extraction for a Morphologically Rich Language". International Journal on Semantic Web and Information Systems 15, n.º 1 (janeiro de 2019): 119–49. http://dx.doi.org/10.4018/ijswis.2019010106.
Texto completo da fonteKokla, M., V. Papadias e E. Tomai. "ENRICHMENT AND POPULATION OF A GEOSPATIAL ONTOLOGY FOR SEMANTIC INFORMATION EXTRACTION". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4 (19 de setembro de 2018): 309–14. http://dx.doi.org/10.5194/isprs-archives-xlii-4-309-2018.
Texto completo da fonteEljinini, Mohammad Ali H. "The Medical Semantic Web". International Journal of Information Technology and Web Engineering 6, n.º 2 (abril de 2011): 18–28. http://dx.doi.org/10.4018/jitwe.2011040102.
Texto completo da fontePancerz, Krzysztof, Arkadiusz Lewicki e Ryszard Tadeusiewicz. "Ant-based extraction of rules in simple decision systems over ontological graphs". International Journal of Applied Mathematics and Computer Science 25, n.º 2 (1 de junho de 2015): 377–87. http://dx.doi.org/10.1515/amcs-2015-0029.
Texto completo da fonteDesul, Sudarsana, Madurai Meenachi N., Thejas Venkatesh, Vijitha Gunta, Gowtham R. e Magapu Sai Baba. "Method for automatic key concepts extraction". Electronic Library 37, n.º 1 (4 de fevereiro de 2019): 2–15. http://dx.doi.org/10.1108/el-01-2018-0012.
Texto completo da fonteHuynh, Nghia Huu, Quoc Bao Ho e Te An Nguyen. "An approach in health relation extraction". Science & Technology Development Journal - Economics - Law and Management 1, Q3 (31 de dezembro de 2017): 51–63. http://dx.doi.org/10.32508/stdjelm.v1iq3.449.
Texto completo da fonteWall, Jeffrey D., e Rahul Singh. "Contextualized Meaning Extraction". International Journal of Organizational and Collective Intelligence 7, n.º 3 (julho de 2017): 15–29. http://dx.doi.org/10.4018/ijoci.2017070102.
Texto completo da fonteAin, Qurat Ul, Mohamed Amine Chatti, Komlan Gluck Charles Bakar, Shoeb Joarder e Rawaa Alatrash. "Automatic Construction of Educational Knowledge Graphs: A Word Embedding-Based Approach". Information 14, n.º 10 (27 de setembro de 2023): 526. http://dx.doi.org/10.3390/info14100526.
Texto completo da fonteAnoop, V. S., e S. Asharaf. "Extracting Conceptual Relationships and Inducing Concept Lattices from Unstructured Text". Journal of Intelligent Systems 28, n.º 4 (25 de setembro de 2019): 669–81. http://dx.doi.org/10.1515/jisys-2017-0225.
Texto completo da fonteXu, Dongfang, Manoj Gopale, Jiacheng Zhang, Kris Brown, Edmon Begoli e Steven Bethard. "Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization". Journal of the American Medical Informatics Association 27, n.º 10 (27 de julho de 2020): 1510–19. http://dx.doi.org/10.1093/jamia/ocaa080.
Texto completo da fonteNasser, Ahmed, e Hayri Sever. "A Concept-based Sentiment Analysis Approach for Arabic". International Arab Journal of Information Technology 17, n.º 5 (1 de setembro de 2020): 778–88. http://dx.doi.org/10.34028/iajit/17/5/11.
Texto completo da fonteBen Abdessalem Karaa, Wahiba, Eman H. Alkhammash e Aida Bchir. "Drug Disease Relation Extraction from Biomedical Literature Using NLP and Machine Learning". Mobile Information Systems 2021 (19 de maio de 2021): 1–10. http://dx.doi.org/10.1155/2021/9958410.
Texto completo da fonteAfef, Zwidi, Ameni Yengui e Neji Mahmoud. "Research system of semantic information in medical videoconference based on conceptual graphs and domain ontologies". INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 7, n.º 2 (30 de novembro de 2013): 979–99. http://dx.doi.org/10.24297/ijmit.v7i2.703.
Texto completo da fonteDevarajan, Viji, e Revathy Subramanian. "Analyzing semantic similarity amongst textual documents to suggest near duplicates". Indonesian Journal of Electrical Engineering and Computer Science 25, n.º 3 (1 de março de 2022): 1703. http://dx.doi.org/10.11591/ijeecs.v25.i3.pp1703-1711.
Texto completo da fonteNavigli, Roberto, e Paola Velardi. "Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites". Computational Linguistics 30, n.º 2 (junho de 2004): 151–79. http://dx.doi.org/10.1162/089120104323093276.
Texto completo da fontePreum, Sarah Masud, Sile Shu, Homa Alemzadeh e John A. Stankovic. "EMSContExt: EMS Protocol-Driven Concept Extraction for Cognitive Assistance in Emergency Response". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 08 (3 de abril de 2020): 13350–55. http://dx.doi.org/10.1609/aaai.v34i08.7048.
Texto completo da fonteJuan e Faber. "Extraction of Terms Related to Named Rivers". Languages 4, n.º 3 (27 de junho de 2019): 46. http://dx.doi.org/10.3390/languages4030046.
Texto completo da fonteMason, Zachary J. "CorMet: A Computational, Corpus-Based Conventional Metaphor Extraction System". Computational Linguistics 30, n.º 1 (março de 2004): 23–44. http://dx.doi.org/10.1162/089120104773633376.
Texto completo da fonteMa, Yong. "Research on Intelligent Evaluation System of Sports Training based on Video Image Acquisition and Scene Semantics". Advances in Multimedia 2022 (26 de março de 2022): 1–6. http://dx.doi.org/10.1155/2022/4726450.
Texto completo da fonteAnastopoulou, N., M. Kavouras, M. Kokla e E. Tomai. "CONCEPTS – LOCATIONS – EMOTIONS: SEMANTIC ANALYSIS AND VISUALIZATION OF CLIMATE CHANGE TEXTS". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (30 de junho de 2021): 31–37. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-31-2021.
Texto completo da fonteHuang, Yikun, Xingsi Xue e Chao Jiang. "Semantic Integration of Sensor Knowledge on Artificial Internet of Things". Wireless Communications and Mobile Computing 2020 (25 de julho de 2020): 1–8. http://dx.doi.org/10.1155/2020/8815001.
Texto completo da fonteKokla, Margarita, e Eric Guilbert. "A Review of Geospatial Semantic Information Modeling and Elicitation Approaches". ISPRS International Journal of Geo-Information 9, n.º 3 (1 de março de 2020): 146. http://dx.doi.org/10.3390/ijgi9030146.
Texto completo da fonteMuppavarapu, Vamsee, Gowtham Ramesh, Amelie Gyrard e Mahda Noura. "Knowledge extraction using semantic similarity of concepts from Web of Things knowledge bases". Data & Knowledge Engineering 135 (setembro de 2021): 101923. http://dx.doi.org/10.1016/j.datak.2021.101923.
Texto completo da fonteDenecke, K. "Semantic Structuring of and Information Extraction from Medical Documents Using the UMLS". Methods of Information in Medicine 47, n.º 05 (2008): 425–34. http://dx.doi.org/10.3414/me0508.
Texto completo da fonteZhu, Hong Mei, Liang Zhang e Wei Sun. "A Method for Ontology Module Extract". Applied Mechanics and Materials 668-669 (outubro de 2014): 1198–201. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.1198.
Texto completo da fonteBarbantan, Ioana, Mihaela Porumb, Camelia Lemnaru e Rodica Potolea. "Feature Engineered Relation Extraction – Medical Documents Setting". International Journal of Web Information Systems 12, n.º 3 (15 de agosto de 2016): 336–58. http://dx.doi.org/10.1108/ijwis-03-2016-0015.
Texto completo da fonteAntipov, I., W. Hersh, C. A. Smith, M. Mailhot e H. J. Lowe. "Automated Semantic Indexing of Imaging Reports to Support Retrieval of Medical Images in the Multimedia Electronic Medical Record". Methods of Information in Medicine 38, n.º 04/05 (1999): 303–7. http://dx.doi.org/10.1055/s-0038-1634413.
Texto completo da fonteSubramaniyaswamy, V. "Automatic Topic Ontology Construction Using Semantic Relations from WordNet and Wikipedia". International Journal of Intelligent Information Technologies 9, n.º 3 (julho de 2013): 61–89. http://dx.doi.org/10.4018/jiit.2013070104.
Texto completo da fonteAltaf, Saud, Sofia Iqbal e Muhammad Waseem Soomro. "Efficient natural language classification algorithm for detecting duplicate unsupervised features". Informatics and Automation 20, n.º 3 (2 de junho de 2021): 623–53. http://dx.doi.org/10.15622/ia.2021.3.5.
Texto completo da fontePoux, F., R. Neuville, P. Hallot e R. Billen. "MODEL FOR SEMANTICALLY RICH POINT CLOUD DATA". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W5 (23 de outubro de 2017): 107–15. http://dx.doi.org/10.5194/isprs-annals-iv-4-w5-107-2017.
Texto completo da fonteTerletskyi, D. O., e S. V. Yershov. "Decompositional Extraction and Retrieval of Conceptual Knowledge". PROBLEMS IN PROGRAMMING, n.º 3-4 (dezembro de 2022): 139–53. http://dx.doi.org/10.15407/pp2022.03-04.139.
Texto completo da fonteGiordano, Vito, Marco Consoloni, Filippo Chiarello e Gualtiero Fantoni. "Towards the extraction of semantic relations in design with natural language processing". Proceedings of the Design Society 4 (maio de 2024): 2059–68. http://dx.doi.org/10.1017/pds.2024.208.
Texto completo da fonteWu, Denise H., Sara Waller e Anjan Chatterjee. "The Functional Neuroanatomy of Thematic Role and Locative Relational Knowledge". Journal of Cognitive Neuroscience 19, n.º 9 (setembro de 2007): 1542–55. http://dx.doi.org/10.1162/jocn.2007.19.9.1542.
Texto completo da fonteWang, Chenliang, Wenjiao Shi e Hongchen Lv. "Construction of Remote Sensing Indices Knowledge Graph (RSIKG) Based on Semantic Hierarchical Graph". Remote Sensing 16, n.º 1 (30 de dezembro de 2023): 158. http://dx.doi.org/10.3390/rs16010158.
Texto completo da fonteZatarain, Omar, Jesse Yoe Rumbo-Morales, Silvia Ramos-Cabral, Gerardo Ortíz-Torres, Felipe d. J. Sorcia-Vázquez, Iván Guillén-Escamilla e Juan Carlos Mixteco-Sánchez. "A Method for Perception and Assessment of Semantic Textual Similarities in English". Mathematics 11, n.º 12 (14 de junho de 2023): 2700. http://dx.doi.org/10.3390/math11122700.
Texto completo da fonteBetru, Bisrat, e Fekade Getahun. "Ontology-driven Intelligent IT Incident Management Model". International Journal of Information Technology and Computer Science 15, n.º 1 (8 de fevereiro de 2023): 30–41. http://dx.doi.org/10.5815/ijitcs.2023.01.04.
Texto completo da fonteLin, Bingqian, Yi Zhu, Xiaodan Liang, Liang Lin e Jianzhuang Liu. "Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 2 (26 de junho de 2023): 1568–76. http://dx.doi.org/10.1609/aaai.v37i2.25243.
Texto completo da fonteZhu, Lichao, Hangzhou Yang e Zhijun Yan. "Mining medical related temporal information from patients’ self-description". International Journal of Crowd Science 1, n.º 2 (12 de junho de 2017): 110–20. http://dx.doi.org/10.1108/ijcs-08-2017-0018.
Texto completo da fonteEkinci, Ekin, e Sevinç İlhan Omurca. "Concept-LDA: Incorporating Babelfy into LDA for aspect extraction". Journal of Information Science 46, n.º 3 (29 de abril de 2019): 406–18. http://dx.doi.org/10.1177/0165551519845854.
Texto completo da fonte