Artigos de revistas sobre o tema "Deep semantic parsing"
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Laukaitis, Algirdas, Egidijus Ostašius e Darius Plikynas. "Deep Semantic Parsing with Upper Ontologies". Applied Sciences 11, n.º 20 (11 de outubro de 2021): 9423. http://dx.doi.org/10.3390/app11209423.
Texto completo da fonteBALLESTEROS, MIGUEL, BERND BOHNET, SIMON MILLE e LEO WANNER. "Data-driven deep-syntactic dependency parsing". Natural Language Engineering 22, n.º 6 (18 de agosto de 2015): 939–74. http://dx.doi.org/10.1017/s1351324915000285.
Texto completo da fonteLuo, Ling, Dingyu Xue e Xinglong Feng. "EHANet: An Effective Hierarchical Aggregation Network for Face Parsing". Applied Sciences 10, n.º 9 (30 de abril de 2020): 3135. http://dx.doi.org/10.3390/app10093135.
Texto completo da fonteAbdelaziz, Ibrahim, Srinivas Ravishankar, Pavan Kapanipathi, Salim Roukos e Alexander Gray. "A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 18 (18 de maio de 2021): 15985–87. http://dx.doi.org/10.1609/aaai.v35i18.17988.
Texto completo da fonteHuang, Lili, Jiefeng Peng, Ruimao Zhang, Guanbin Li e Liang Lin. "Learning deep representations for semantic image parsing: a comprehensive overview". Frontiers of Computer Science 12, n.º 5 (30 de agosto de 2018): 840–57. http://dx.doi.org/10.1007/s11704-018-7195-8.
Texto completo da fonteFernández-Martínez, Nicolás José, e Pamela Faber. "Who stole what from whom?" Languages in Contrast 20, n.º 1 (5 de junho de 2019): 107–40. http://dx.doi.org/10.1075/lic.19002.fer.
Texto completo da fonteZhao, H., X. Zhang e C. Kit. "Integrative Semantic Dependency Parsing via Efficient Large-scale Feature Selection". Journal of Artificial Intelligence Research 46 (20 de fevereiro de 2013): 203–33. http://dx.doi.org/10.1613/jair.3717.
Texto completo da fonteZhang, Xun, Yantao Du, Weiwei Sun e Xiaojun Wan. "Transition-Based Parsing for Deep Dependency Structures". Computational Linguistics 42, n.º 3 (setembro de 2016): 353–89. http://dx.doi.org/10.1162/coli_a_00252.
Texto completo da fonteZhou, Fan, Enbo Huang, Zhuo Su e Ruomei Wang. "Multiscale Meets Spatial Awareness: An Efficient Attention Guidance Network for Human Parsing". Mathematical Problems in Engineering 2020 (16 de outubro de 2020): 1–12. http://dx.doi.org/10.1155/2020/5794283.
Texto completo da fonteYang, Haitong, Tao Zhuang e Chengqing Zong. "Domain Adaptation for Syntactic and Semantic Dependency Parsing Using Deep Belief Networks". Transactions of the Association for Computational Linguistics 3 (dezembro de 2015): 271–82. http://dx.doi.org/10.1162/tacl_a_00138.
Texto completo da fonteXin, Peng, e Li Qiujun. "Semantic Dependency Graph Parsing of Financial Domain Questions Based on Deep Learning". Journal of Physics: Conference Series 1453 (janeiro de 2020): 012058. http://dx.doi.org/10.1088/1742-6596/1453/1/012058.
Texto completo da fonteYao, Xuchen, Gosse Bouma e Yi Zhang. "Semantics-based Question Generation and Implementation". Dialogue & Discourse 3, n.º 2 (16 de março de 2012): 11–42. http://dx.doi.org/10.5087/dad.2012.202.
Texto completo da fonteZhou, Wujie, Shaohua Dong, Caie Xu e Yaguan Qian. "Edge-Aware Guidance Fusion Network for RGB–Thermal Scene Parsing". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 3 (28 de junho de 2022): 3571–79. http://dx.doi.org/10.1609/aaai.v36i3.20269.
Texto completo da fonteYin, Zeyu, Jinsong Shao, Muhammad Jawad Hussain, Yajie Hao, Yu Chen, Xuefeng Zhang e Li Wang. "DPG-LSTM: An Enhanced LSTM Framework for Sentiment Analysis in Social Media Text Based on Dependency Parsing and GCN". Applied Sciences 13, n.º 1 (27 de dezembro de 2022): 354. http://dx.doi.org/10.3390/app13010354.
Texto completo da fonteZhao, Ruilin, Yanbing Xue, Jing Cai e Zan Gao. "Parsing human image by fusing semantic and spatial features: A deep learning approach". Information Processing & Management 57, n.º 6 (novembro de 2020): 102306. http://dx.doi.org/10.1016/j.ipm.2020.102306.
Texto completo da fonteBauer, Daniel. "Understanding Descriptions of Visual Scenes Using Graph Grammars". Proceedings of the AAAI Conference on Artificial Intelligence 27, n.º 1 (29 de junho de 2013): 1656–57. http://dx.doi.org/10.1609/aaai.v27i1.8498.
Texto completo da fonteNdongala, Nathan Manzambi. "Light RAT-SQL: A RAT-SQL with More Abstraction and Less Embedding of Pre-existing Relations". TEXILA INTERNATIONAL JOURNAL OF ACADEMIC RESEARCH 10, n.º 2 (28 de abril de 2023): 1–11. http://dx.doi.org/10.21522/tijar.2014.10.02.art001.
Texto completo da fonteLi, Xiangtai, Houlong Zhao, Lei Han, Yunhai Tong, Shaohua Tan e Kuiyuan Yang. "Gated Fully Fusion for Semantic Segmentation". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 07 (3 de abril de 2020): 11418–25. http://dx.doi.org/10.1609/aaai.v34i07.6805.
Texto completo da fonteQian, Rui, Yunchao Wei, Honghui Shi, Jiachen Li, Jiaying Liu e Thomas Huang. "Weakly Supervised Scene Parsing with Point-Based Distance Metric Learning". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julho de 2019): 8843–50. http://dx.doi.org/10.1609/aaai.v33i01.33018843.
Texto completo da fonteOHTA, Tomoko. "Semantic retrieval for the accurate identification of relational concepts based on deep syntactic parsing". Journal of Information Processing and Management 49, n.º 10 (2007): 555–63. http://dx.doi.org/10.1241/johokanri.49.555.
Texto completo da fonteDai, Hongming. "LinGAN: an Advanced Model for Code Generating based on Linformer". Journal of Physics: Conference Series 2082, n.º 1 (1 de novembro de 2021): 012019. http://dx.doi.org/10.1088/1742-6596/2082/1/012019.
Texto completo da fonteFrisoni, Giacomo, Paolo Italiani, Stefano Salvatori e Gianluca Moro. "Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 11 (26 de junho de 2023): 12781–89. http://dx.doi.org/10.1609/aaai.v37i11.26503.
Texto completo da fonteQuispe, Rodolfo, e Helio Pedrini. "Improved person re-identification based on saliency and semantic parsing with deep neural network models". Image and Vision Computing 92 (dezembro de 2019): 103809. http://dx.doi.org/10.1016/j.imavis.2019.07.009.
Texto completo da fonteXia, Qingrong, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang e Luo Si. "Syntax-Aware Neural Semantic Role Labeling". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julho de 2019): 7305–13. http://dx.doi.org/10.1609/aaai.v33i01.33017305.
Texto completo da fonteZou, Nan, Zhiyu Xiang, Yiman Chen, Shuya Chen e Chengyu Qiao. "Simultaneous Semantic Segmentation and Depth Completion with Constraint of Boundary". Sensors 20, n.º 3 (23 de janeiro de 2020): 635. http://dx.doi.org/10.3390/s20030635.
Texto completo da fonteStaykova, Kamenka, Petya Osenova e Kiril Simov. "New Applications of “Ontology-to-Text Relation” Strategy for Bulgarian Language". Cybernetics and Information Technologies 12, n.º 4 (1 de dezembro de 2012): 43–51. http://dx.doi.org/10.2478/cait-2012-0029.
Texto completo da fonteMa, Sai, Weibing Wan, Zedong Yu e Yuming Zhao. "EDET: Entity Descriptor Encoder of Transformer for Multi-Modal Knowledge Graph in Scene Parsing". Applied Sciences 13, n.º 12 (14 de junho de 2023): 7115. http://dx.doi.org/10.3390/app13127115.
Texto completo da fonteManzambi Ndongala, Nathan. "Topological Relation Aware Transformer". Texila International Journal of Academic Research 11, n.º 1 (31 de janeiro de 2024): 160–74. http://dx.doi.org/10.21522/tijar.2014.11.01.art015.
Texto completo da fonteCosta, Marcus Vinícius Coelho Vieira da, Osmar Luiz Ferreira de Carvalho, Alex Gois Orlandi, Issao Hirata, Anesmar Olino de Albuquerque, Felipe Vilarinho e. Silva, Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes e Osmar Abílio de Carvalho Júnior. "Remote Sensing for Monitoring Photovoltaic Solar Plants in Brazil Using Deep Semantic Segmentation". Energies 14, n.º 10 (20 de maio de 2021): 2960. http://dx.doi.org/10.3390/en14102960.
Texto completo da fonteŞahin, Gözde Gül. "To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP". Computational Linguistics 48, n.º 1 (2022): 5–42. http://dx.doi.org/10.1162/coli_a_00425.
Texto completo da fonteTosic, D., S. Tuttas, L. Hoegner e U. Stilla. "FUSION OF FEATURE BASED AND DEEP LEARNING METHODS FOR CLASSIFICATION OF MMS POINT CLOUDS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W16 (17 de setembro de 2019): 235–42. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w16-235-2019.
Texto completo da fonteUZZAMAN, NAUSHAD, e JAMES F. ALLEN. "EVENT AND TEMPORAL EXPRESSION EXTRACTION FROM RAW TEXT: FIRST STEP TOWARDS A TEMPORALLY AWARE SYSTEM". International Journal of Semantic Computing 04, n.º 04 (dezembro de 2010): 487–508. http://dx.doi.org/10.1142/s1793351x10001097.
Texto completo da fontePan, Qian, Maofang Gao, Pingbo Wu, Jingwen Yan e Shilei Li. "A Deep-Learning-Based Approach for Wheat Yellow Rust Disease Recognition from Unmanned Aerial Vehicle Images". Sensors 21, n.º 19 (30 de setembro de 2021): 6540. http://dx.doi.org/10.3390/s21196540.
Texto completo da fontePanboonyuen, Teerapong, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern e Peerapon Vateekul. "Transformer-Based Decoder Designs for Semantic Segmentation on Remotely Sensed Images". Remote Sensing 13, n.º 24 (15 de dezembro de 2021): 5100. http://dx.doi.org/10.3390/rs13245100.
Texto completo da fonteIacob, Radu Cristian Alexandru, Vlad Cristian Monea, Dan Rădulescu, Andrei-Florin Ceapă, Traian Rebedea e Ștefan Trăușan-Matu. "AlgoLabel: A Large Dataset for Multi-Label Classification of Algorithmic Challenges". Mathematics 8, n.º 11 (9 de novembro de 2020): 1995. http://dx.doi.org/10.3390/math8111995.
Texto completo da fonteZhang, Zeyu, Honggui Deng, Yang Liu, Qiguo Xu e Gang Liu. "A Semi-Supervised Semantic Segmentation Method for Blast-Hole Detection". Symmetry 14, n.º 4 (23 de março de 2022): 653. http://dx.doi.org/10.3390/sym14040653.
Texto completo da fonteLi, Rui, Shili Shu, Shunli Wang, Yang Liu, Yanhao Li e Mingjun Peng. "DAT-MT Accelerated Graph Fusion Dependency Parsing Model for Small Samples in Professional Fields". Entropy 25, n.º 10 (12 de outubro de 2023): 1444. http://dx.doi.org/10.3390/e25101444.
Texto completo da fonteLi, Wei, Junhua Gu, Benwen Chen e Jungong Han. "Incremental Instance-Oriented 3D Semantic Mapping via RGB-D Cameras for Unknown Indoor Scene". Discrete Dynamics in Nature and Society 2020 (23 de abril de 2020): 1–10. http://dx.doi.org/10.1155/2020/2528954.
Texto completo da fonteSermet, Yusuf, e Ibrahim Demir. "A Semantic Web Framework for Automated Smart Assistants: A Case Study for Public Health". Big Data and Cognitive Computing 5, n.º 4 (18 de outubro de 2021): 57. http://dx.doi.org/10.3390/bdcc5040057.
Texto completo da fonteMa, Kaifeng, Mengshu Hao, Wenlong Shang, Jinping Liu, Junzhen Meng, Qingfeng Hu, Peipei He e Shiming Li. "Study on the Influence of Label Image Accuracy on the Performance of Concrete Crack Segmentation Network Models". Sensors 24, n.º 4 (6 de fevereiro de 2024): 1068. http://dx.doi.org/10.3390/s24041068.
Texto completo da fonteSong, Young Chol, e Henry Kautz. "A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video". Proceedings of the AAAI Conference on Artificial Intelligence 26, n.º 1 (20 de setembro de 2021): 2457–58. http://dx.doi.org/10.1609/aaai.v26i1.8430.
Texto completo da fonteNugraha, Deny Wiria, Amil Ahmad Ilham, Andani Achmad e Ardiaty Arief. "Performance Improvement of Deep Convolutional Networks for Aerial Imagery Segmentation of Natural Disaster-Affected Areas". JOIV : International Journal on Informatics Visualization 7, n.º 4 (31 de dezembro de 2023): 2321. http://dx.doi.org/10.30630/joiv.7.4.01383.
Texto completo da fonteMekhalfi, Mohamed Lamine, Mesay Belete Bejiga, Davide Soresina, Farid Melgani e Begüm Demir. "Capsule Networks for Object Detection in UAV Imagery". Remote Sensing 11, n.º 14 (17 de julho de 2019): 1694. http://dx.doi.org/10.3390/rs11141694.
Texto completo da fonteKRIEGER, HANS-ULRICH. "From UBGs to CFGs A practical corpus-driven approach". Natural Language Engineering 13, n.º 4 (dezembro de 2007): 317–51. http://dx.doi.org/10.1017/s1351324906004128.
Texto completo da fonteQiao, Dalei, Guangzhong Liu, Taizhi Lv, Wei Li e Juan Zhang. "Marine Vision-Based Situational Awareness Using Discriminative Deep Learning: A Survey". Journal of Marine Science and Engineering 9, n.º 4 (8 de abril de 2021): 397. http://dx.doi.org/10.3390/jmse9040397.
Texto completo da fonteJi, Tianbo, Chenyang Lyu, Zhichao Cao e Peng Cheng. "Multi-Hop Question Generation Using Hierarchical Encoding-Decoding and Context Switch Mechanism". Entropy 23, n.º 11 (31 de outubro de 2021): 1449. http://dx.doi.org/10.3390/e23111449.
Texto completo da fonteMou, L., Y. Hua, P. Jin e X. X. Zhu. "GLOBAL MESSAGE PASSING IN NETWORKS VIA TASK-DRIVEN RANDOM WALKS FOR SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGES". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2020 (3 de agosto de 2020): 533–40. http://dx.doi.org/10.5194/isprs-annals-v-2-2020-533-2020.
Texto completo da fonteZhang, Ruidong, e Xinguang Zhang. "Geometric Constraint-Based and Improved YOLOv5 Semantic SLAM for Dynamic Scenes". ISPRS International Journal of Geo-Information 12, n.º 6 (23 de maio de 2023): 211. http://dx.doi.org/10.3390/ijgi12060211.
Texto completo da fonteGibril, Mohamed Barakat A., Helmi Zulhaidi Mohd Shafri, Abdallah Shanableh, Rami Al-Ruzouq, Aimrun Wayayok e Shaiful Jahari Hashim. "Deep Convolutional Neural Network for Large-Scale Date Palm Tree Mapping from UAV-Based Images". Remote Sensing 13, n.º 14 (15 de julho de 2021): 2787. http://dx.doi.org/10.3390/rs13142787.
Texto completo da fonteMa, Kaifeng, Xiang Meng, Mengshu Hao, Guiping Huang, Qingfeng Hu e Peipei He. "Research on the Efficiency of Bridge Crack Detection by Coupling Deep Learning Frameworks with Convolutional Neural Networks". Sensors 23, n.º 16 (19 de agosto de 2023): 7272. http://dx.doi.org/10.3390/s23167272.
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