Artykuły w czasopismach na temat „Deep semantic parsing”
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Laukaitis, Algirdas, Egidijus Ostašius i Darius Plikynas. "Deep Semantic Parsing with Upper Ontologies". Applied Sciences 11, nr 20 (11.10.2021): 9423. http://dx.doi.org/10.3390/app11209423.
Pełny tekst źródłaBALLESTEROS, MIGUEL, BERND BOHNET, SIMON MILLE i LEO WANNER. "Data-driven deep-syntactic dependency parsing". Natural Language Engineering 22, nr 6 (18.08.2015): 939–74. http://dx.doi.org/10.1017/s1351324915000285.
Pełny tekst źródłaLuo, Ling, Dingyu Xue i Xinglong Feng. "EHANet: An Effective Hierarchical Aggregation Network for Face Parsing". Applied Sciences 10, nr 9 (30.04.2020): 3135. http://dx.doi.org/10.3390/app10093135.
Pełny tekst źródłaAbdelaziz, Ibrahim, Srinivas Ravishankar, Pavan Kapanipathi, Salim Roukos i Alexander Gray. "A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering". Proceedings of the AAAI Conference on Artificial Intelligence 35, nr 18 (18.05.2021): 15985–87. http://dx.doi.org/10.1609/aaai.v35i18.17988.
Pełny tekst źródłaHuang, Lili, Jiefeng Peng, Ruimao Zhang, Guanbin Li i Liang Lin. "Learning deep representations for semantic image parsing: a comprehensive overview". Frontiers of Computer Science 12, nr 5 (30.08.2018): 840–57. http://dx.doi.org/10.1007/s11704-018-7195-8.
Pełny tekst źródłaFernández-Martínez, Nicolás José, i Pamela Faber. "Who stole what from whom?" Languages in Contrast 20, nr 1 (5.06.2019): 107–40. http://dx.doi.org/10.1075/lic.19002.fer.
Pełny tekst źródłaZhao, H., X. Zhang i C. Kit. "Integrative Semantic Dependency Parsing via Efficient Large-scale Feature Selection". Journal of Artificial Intelligence Research 46 (20.02.2013): 203–33. http://dx.doi.org/10.1613/jair.3717.
Pełny tekst źródłaZhang, Xun, Yantao Du, Weiwei Sun i Xiaojun Wan. "Transition-Based Parsing for Deep Dependency Structures". Computational Linguistics 42, nr 3 (wrzesień 2016): 353–89. http://dx.doi.org/10.1162/coli_a_00252.
Pełny tekst źródłaZhou, Fan, Enbo Huang, Zhuo Su i Ruomei Wang. "Multiscale Meets Spatial Awareness: An Efficient Attention Guidance Network for Human Parsing". Mathematical Problems in Engineering 2020 (16.10.2020): 1–12. http://dx.doi.org/10.1155/2020/5794283.
Pełny tekst źródłaYang, Haitong, Tao Zhuang i Chengqing Zong. "Domain Adaptation for Syntactic and Semantic Dependency Parsing Using Deep Belief Networks". Transactions of the Association for Computational Linguistics 3 (grudzień 2015): 271–82. http://dx.doi.org/10.1162/tacl_a_00138.
Pełny tekst źródłaXin, Peng, i Li Qiujun. "Semantic Dependency Graph Parsing of Financial Domain Questions Based on Deep Learning". Journal of Physics: Conference Series 1453 (styczeń 2020): 012058. http://dx.doi.org/10.1088/1742-6596/1453/1/012058.
Pełny tekst źródłaYao, Xuchen, Gosse Bouma i Yi Zhang. "Semantics-based Question Generation and Implementation". Dialogue & Discourse 3, nr 2 (16.03.2012): 11–42. http://dx.doi.org/10.5087/dad.2012.202.
Pełny tekst źródłaZhou, Wujie, Shaohua Dong, Caie Xu i Yaguan Qian. "Edge-Aware Guidance Fusion Network for RGB–Thermal Scene Parsing". Proceedings of the AAAI Conference on Artificial Intelligence 36, nr 3 (28.06.2022): 3571–79. http://dx.doi.org/10.1609/aaai.v36i3.20269.
Pełny tekst źródłaYin, Zeyu, Jinsong Shao, Muhammad Jawad Hussain, Yajie Hao, Yu Chen, Xuefeng Zhang i Li Wang. "DPG-LSTM: An Enhanced LSTM Framework for Sentiment Analysis in Social Media Text Based on Dependency Parsing and GCN". Applied Sciences 13, nr 1 (27.12.2022): 354. http://dx.doi.org/10.3390/app13010354.
Pełny tekst źródłaZhao, Ruilin, Yanbing Xue, Jing Cai i Zan Gao. "Parsing human image by fusing semantic and spatial features: A deep learning approach". Information Processing & Management 57, nr 6 (listopad 2020): 102306. http://dx.doi.org/10.1016/j.ipm.2020.102306.
Pełny tekst źródłaBauer, Daniel. "Understanding Descriptions of Visual Scenes Using Graph Grammars". Proceedings of the AAAI Conference on Artificial Intelligence 27, nr 1 (29.06.2013): 1656–57. http://dx.doi.org/10.1609/aaai.v27i1.8498.
Pełny tekst źródłaNdongala, 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, nr 2 (28.04.2023): 1–11. http://dx.doi.org/10.21522/tijar.2014.10.02.art001.
Pełny tekst źródłaLi, Xiangtai, Houlong Zhao, Lei Han, Yunhai Tong, Shaohua Tan i Kuiyuan Yang. "Gated Fully Fusion for Semantic Segmentation". Proceedings of the AAAI Conference on Artificial Intelligence 34, nr 07 (3.04.2020): 11418–25. http://dx.doi.org/10.1609/aaai.v34i07.6805.
Pełny tekst źródłaQian, Rui, Yunchao Wei, Honghui Shi, Jiachen Li, Jiaying Liu i Thomas Huang. "Weakly Supervised Scene Parsing with Point-Based Distance Metric Learning". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17.07.2019): 8843–50. http://dx.doi.org/10.1609/aaai.v33i01.33018843.
Pełny tekst źródłaOHTA, Tomoko. "Semantic retrieval for the accurate identification of relational concepts based on deep syntactic parsing". Journal of Information Processing and Management 49, nr 10 (2007): 555–63. http://dx.doi.org/10.1241/johokanri.49.555.
Pełny tekst źródłaDai, Hongming. "LinGAN: an Advanced Model for Code Generating based on Linformer". Journal of Physics: Conference Series 2082, nr 1 (1.11.2021): 012019. http://dx.doi.org/10.1088/1742-6596/2082/1/012019.
Pełny tekst źródłaFrisoni, Giacomo, Paolo Italiani, Stefano Salvatori i 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, nr 11 (26.06.2023): 12781–89. http://dx.doi.org/10.1609/aaai.v37i11.26503.
Pełny tekst źródłaQuispe, Rodolfo, i Helio Pedrini. "Improved person re-identification based on saliency and semantic parsing with deep neural network models". Image and Vision Computing 92 (grudzień 2019): 103809. http://dx.doi.org/10.1016/j.imavis.2019.07.009.
Pełny tekst źródłaXia, Qingrong, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang i Luo Si. "Syntax-Aware Neural Semantic Role Labeling". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17.07.2019): 7305–13. http://dx.doi.org/10.1609/aaai.v33i01.33017305.
Pełny tekst źródłaZou, Nan, Zhiyu Xiang, Yiman Chen, Shuya Chen i Chengyu Qiao. "Simultaneous Semantic Segmentation and Depth Completion with Constraint of Boundary". Sensors 20, nr 3 (23.01.2020): 635. http://dx.doi.org/10.3390/s20030635.
Pełny tekst źródłaStaykova, Kamenka, Petya Osenova i Kiril Simov. "New Applications of “Ontology-to-Text Relation” Strategy for Bulgarian Language". Cybernetics and Information Technologies 12, nr 4 (1.12.2012): 43–51. http://dx.doi.org/10.2478/cait-2012-0029.
Pełny tekst źródłaMa, Sai, Weibing Wan, Zedong Yu i Yuming Zhao. "EDET: Entity Descriptor Encoder of Transformer for Multi-Modal Knowledge Graph in Scene Parsing". Applied Sciences 13, nr 12 (14.06.2023): 7115. http://dx.doi.org/10.3390/app13127115.
Pełny tekst źródłaManzambi Ndongala, Nathan. "Topological Relation Aware Transformer". Texila International Journal of Academic Research 11, nr 1 (31.01.2024): 160–74. http://dx.doi.org/10.21522/tijar.2014.11.01.art015.
Pełny tekst źródłaCosta, 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 i Osmar Abílio de Carvalho Júnior. "Remote Sensing for Monitoring Photovoltaic Solar Plants in Brazil Using Deep Semantic Segmentation". Energies 14, nr 10 (20.05.2021): 2960. http://dx.doi.org/10.3390/en14102960.
Pełny tekst źródłaŞahin, Gözde Gül. "To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP". Computational Linguistics 48, nr 1 (2022): 5–42. http://dx.doi.org/10.1162/coli_a_00425.
Pełny tekst źródłaTosic, D., S. Tuttas, L. Hoegner i 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 (17.09.2019): 235–42. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w16-235-2019.
Pełny tekst źródłaUZZAMAN, NAUSHAD, i JAMES F. ALLEN. "EVENT AND TEMPORAL EXPRESSION EXTRACTION FROM RAW TEXT: FIRST STEP TOWARDS A TEMPORALLY AWARE SYSTEM". International Journal of Semantic Computing 04, nr 04 (grudzień 2010): 487–508. http://dx.doi.org/10.1142/s1793351x10001097.
Pełny tekst źródłaPan, Qian, Maofang Gao, Pingbo Wu, Jingwen Yan i Shilei Li. "A Deep-Learning-Based Approach for Wheat Yellow Rust Disease Recognition from Unmanned Aerial Vehicle Images". Sensors 21, nr 19 (30.09.2021): 6540. http://dx.doi.org/10.3390/s21196540.
Pełny tekst źródłaPanboonyuen, Teerapong, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern i Peerapon Vateekul. "Transformer-Based Decoder Designs for Semantic Segmentation on Remotely Sensed Images". Remote Sensing 13, nr 24 (15.12.2021): 5100. http://dx.doi.org/10.3390/rs13245100.
Pełny tekst źródłaIacob, Radu Cristian Alexandru, Vlad Cristian Monea, Dan Rădulescu, Andrei-Florin Ceapă, Traian Rebedea i Ștefan Trăușan-Matu. "AlgoLabel: A Large Dataset for Multi-Label Classification of Algorithmic Challenges". Mathematics 8, nr 11 (9.11.2020): 1995. http://dx.doi.org/10.3390/math8111995.
Pełny tekst źródłaZhang, Zeyu, Honggui Deng, Yang Liu, Qiguo Xu i Gang Liu. "A Semi-Supervised Semantic Segmentation Method for Blast-Hole Detection". Symmetry 14, nr 4 (23.03.2022): 653. http://dx.doi.org/10.3390/sym14040653.
Pełny tekst źródłaLi, Rui, Shili Shu, Shunli Wang, Yang Liu, Yanhao Li i Mingjun Peng. "DAT-MT Accelerated Graph Fusion Dependency Parsing Model for Small Samples in Professional Fields". Entropy 25, nr 10 (12.10.2023): 1444. http://dx.doi.org/10.3390/e25101444.
Pełny tekst źródłaLi, Wei, Junhua Gu, Benwen Chen i Jungong Han. "Incremental Instance-Oriented 3D Semantic Mapping via RGB-D Cameras for Unknown Indoor Scene". Discrete Dynamics in Nature and Society 2020 (23.04.2020): 1–10. http://dx.doi.org/10.1155/2020/2528954.
Pełny tekst źródłaSermet, Yusuf, i Ibrahim Demir. "A Semantic Web Framework for Automated Smart Assistants: A Case Study for Public Health". Big Data and Cognitive Computing 5, nr 4 (18.10.2021): 57. http://dx.doi.org/10.3390/bdcc5040057.
Pełny tekst źródłaMa, Kaifeng, Mengshu Hao, Wenlong Shang, Jinping Liu, Junzhen Meng, Qingfeng Hu, Peipei He i Shiming Li. "Study on the Influence of Label Image Accuracy on the Performance of Concrete Crack Segmentation Network Models". Sensors 24, nr 4 (6.02.2024): 1068. http://dx.doi.org/10.3390/s24041068.
Pełny tekst źródłaSong, Young Chol, i Henry Kautz. "A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video". Proceedings of the AAAI Conference on Artificial Intelligence 26, nr 1 (20.09.2021): 2457–58. http://dx.doi.org/10.1609/aaai.v26i1.8430.
Pełny tekst źródłaNugraha, Deny Wiria, Amil Ahmad Ilham, Andani Achmad i Ardiaty Arief. "Performance Improvement of Deep Convolutional Networks for Aerial Imagery Segmentation of Natural Disaster-Affected Areas". JOIV : International Journal on Informatics Visualization 7, nr 4 (31.12.2023): 2321. http://dx.doi.org/10.30630/joiv.7.4.01383.
Pełny tekst źródłaMekhalfi, Mohamed Lamine, Mesay Belete Bejiga, Davide Soresina, Farid Melgani i Begüm Demir. "Capsule Networks for Object Detection in UAV Imagery". Remote Sensing 11, nr 14 (17.07.2019): 1694. http://dx.doi.org/10.3390/rs11141694.
Pełny tekst źródłaKRIEGER, HANS-ULRICH. "From UBGs to CFGs A practical corpus-driven approach". Natural Language Engineering 13, nr 4 (grudzień 2007): 317–51. http://dx.doi.org/10.1017/s1351324906004128.
Pełny tekst źródłaQiao, Dalei, Guangzhong Liu, Taizhi Lv, Wei Li i Juan Zhang. "Marine Vision-Based Situational Awareness Using Discriminative Deep Learning: A Survey". Journal of Marine Science and Engineering 9, nr 4 (8.04.2021): 397. http://dx.doi.org/10.3390/jmse9040397.
Pełny tekst źródłaJi, Tianbo, Chenyang Lyu, Zhichao Cao i Peng Cheng. "Multi-Hop Question Generation Using Hierarchical Encoding-Decoding and Context Switch Mechanism". Entropy 23, nr 11 (31.10.2021): 1449. http://dx.doi.org/10.3390/e23111449.
Pełny tekst źródłaMou, L., Y. Hua, P. Jin i 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 (3.08.2020): 533–40. http://dx.doi.org/10.5194/isprs-annals-v-2-2020-533-2020.
Pełny tekst źródłaZhang, Ruidong, i Xinguang Zhang. "Geometric Constraint-Based and Improved YOLOv5 Semantic SLAM for Dynamic Scenes". ISPRS International Journal of Geo-Information 12, nr 6 (23.05.2023): 211. http://dx.doi.org/10.3390/ijgi12060211.
Pełny tekst źródłaGibril, Mohamed Barakat A., Helmi Zulhaidi Mohd Shafri, Abdallah Shanableh, Rami Al-Ruzouq, Aimrun Wayayok i Shaiful Jahari Hashim. "Deep Convolutional Neural Network for Large-Scale Date Palm Tree Mapping from UAV-Based Images". Remote Sensing 13, nr 14 (15.07.2021): 2787. http://dx.doi.org/10.3390/rs13142787.
Pełny tekst źródłaMa, Kaifeng, Xiang Meng, Mengshu Hao, Guiping Huang, Qingfeng Hu i Peipei He. "Research on the Efficiency of Bridge Crack Detection by Coupling Deep Learning Frameworks with Convolutional Neural Networks". Sensors 23, nr 16 (19.08.2023): 7272. http://dx.doi.org/10.3390/s23167272.
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