Academic literature on the topic 'Skip-gram model'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Skip-gram model.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Skip-gram model"
Wang, Xiaojie, Haijun Zhao, and Huayue Chen. "Improved Skip-Gram Based on Graph Structure Information." Sensors 23, no. 14 (2023): 6527. http://dx.doi.org/10.3390/s23146527.
Full textChai, Bianfang, Xinyu Ji, Jianglin Guo, Lixiao Ma, and Yibo Zheng. "A Generative Model for Topic Discovery and Polysemy Embeddings on Directed Attributed Networks." Symmetry 14, no. 4 (2022): 703. http://dx.doi.org/10.3390/sym14040703.
Full textCelik, Enes, and Sevinc Ilhan Omurca. "Skip-Gram and Transformer Model for Session-Based Recommendation." Applied Sciences 14, no. 14 (2024): 6353. http://dx.doi.org/10.3390/app14146353.
Full textJoko, Hideaki, Yoshitatsu Matsuda, and Kazunori Yamaguchi. "Automatic Synonym Acquisition Using a Context-Restricted Skip-gram Model." Journal of Natural Language Processing 24, no. 2 (2017): 187–204. http://dx.doi.org/10.5715/jnlp.24.187.
Full textYajni, Archit, and Ms Sabu Lama Tamang. "Chunker Based Sentiment Analysis and Tense Classification for Nepali Text." International Journal on Natural Language Computing 12, no. 6 (2023): 01–14. http://dx.doi.org/10.5121/ijnlc.2023.12601.
Full textChunker, Based Sentiment Analysis and Tense Classification for Nepali Text. "Chunker Based Sentiment Analysis and Tense Classification for Nepali Text." International Journal on Natural Language Computing (IJNLC) 12, no. 6 (2023): 16. https://doi.org/10.5121/ijnlc.2023.12601.
Full textHsieh, I.-Chung, and Cheng-Te Li. "Toward an Adaptive Skip-Gram Model for Network Representation Learning." IEEE Access 10 (2022): 37506–14. http://dx.doi.org/10.1109/access.2022.3164670.
Full textTang, Yachun. "Research on Word Vector Training Method Based on Improved Skip-Gram Algorithm." Advances in Multimedia 2022 (February 27, 2022): 1–8. http://dx.doi.org/10.1155/2022/4414207.
Full textKhomsah, Siti. "Sentiment Analysis On YouTube Comments Using Word2Vec and Random Forest." Telematika 18, no. 1 (2021): 61. http://dx.doi.org/10.31315/telematika.v18i1.4493.
Full textArthur O. Santos, Flávio, Thiago Dias Bispo, Hendrik Teixeira Macedo, and Cleber Zanchettin. "Morphological Skip-Gram: Replacing FastText characters n-gram with morphological knowledge." Inteligencia Artificial 24, no. 67 (2021): 1–17. http://dx.doi.org/10.4114/intartif.vol24iss67pp1-17.
Full textDissertations / Theses on the topic "Skip-gram model"
Lopes, Evandro Dalbem. "Utilização do modelo skip-gram para representação distribuída de palavras no projeto Media Cloud Brasil." reponame:Repositório Institucional do FGV, 2015. http://hdl.handle.net/10438/16685.
Full textMoreno, Pérez Carlos. "Text Mining in Macroeconomics and Finance Using Unsupervised Machine Learning Algorithms." Doctoral thesis, 2021. http://hdl.handle.net/11562/1042759.
Full textBook chapters on the topic "Skip-gram model"
Preethi Krishna, P., and A. Sharada. "Word Embeddings - Skip Gram Model." In ICICCT 2019 – System Reliability, Quality Control, Safety, Maintenance and Management. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8461-5_15.
Full textMu, Cun (Matthew), Guang Yang, and Yan (John) Zheng. "Revisiting Skip-Gram Negative Sampling Model with Rectification." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22871-2_33.
Full textRen, Dedong, and Yong Liu. "SkipCas: Information Diffusion Prediction Model Based on Skip-Gram." In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26390-3_16.
Full textLaw, Jarvan, Hankz Hankui Zhuo, JunHua He, and Erhu Rong. "LTSG: Latent Topical Skip-Gram for Mutually Improving Topic Model and Vector Representations." In Pattern Recognition and Computer Vision. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03338-5_32.
Full textRöchert, Daniel, German Neubaum, and Stefan Stieglitz. "Identifying Political Sentiments on YouTube: A Systematic Comparison Regarding the Accuracy of Recurrent Neural Network and Machine Learning Models." In Disinformation in Open Online Media. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61841-4_8.
Full textGrover, Madhur. "Text Emotion Categorization Using a Convolutional Recurrent Neural Network Enhanced by an Attention Mechanism-based Skip Gram Method." In Demystifying Emerging Trends in Machine Learning. BENTHAM SCIENCE PUBLISHERS, 2025. https://doi.org/10.2174/9789815305395125020032.
Full textRen, Taiyong. "Research on Chinese Spam SMS Classification Based on ECA-TextCNN Model." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia231403.
Full textArguello Casteleiro Mercedes, Maseda Fernandez Diego, Demetriou George, et al. "A Case Study on Sepsis Using PubMed and Deep Learning for Ontology Learning." In Studies in Health Technology and Informatics. IOS Press, 2017. https://doi.org/10.3233/978-1-61499-753-5-516.
Full textSouza de Oliveira, Raphael, and Erick Giovani Sperandio Nascimento. "Clustering by Similarity of Brazilian Legal Documents Using Natural Language Processing Approaches." In Artificial Intelligence. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99875.
Full textConference papers on the topic "Skip-gram model"
Grzegorczyk, Karol, and Marcin Kurdziel. "Disambiguated skip-gram model." In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/d18-1174.
Full textKaji, Nobuhiro, and Hayato Kobayashi. "Incremental Skip-gram Model with Negative Sampling." In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2017. http://dx.doi.org/10.18653/v1/d17-1037.
Full textOnishi, Takamune, and Hiromitsu Shiina. "Distributed Representation Computation Using CBOW Model and Skip–gram Model." In 2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2020. http://dx.doi.org/10.1109/iiai-aai50415.2020.00179.
Full textChoudhary, Kailash, and Ruby Beniwal. "Xplore Word Embedding Using CBOW Model and Skip-Gram Model." In 2021 7th International Conference on Signal Processing and Communication (ICSC). IEEE, 2021. http://dx.doi.org/10.1109/icsc53193.2021.9673321.
Full textSuncong Zheng, Hongyun Bao, Jiaming Xu, Yuexing Hao, Zhenyu Qi, and Hongwei Hao. "A Bidirectional Hierarchical Skip-Gram model for text topic embedding." In 2016 International Joint Conference on Neural Networks (IJCNN). IEEE, 2016. http://dx.doi.org/10.1109/ijcnn.2016.7727289.
Full textMingzhen Zhao, Bo Xu, Hongfei Lin, Zhihao Yang, and Jian Wang. "Discover potential adverse drug reactions using the skip-gram model." In 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2015. http://dx.doi.org/10.1109/bibm.2015.7359955.
Full textMaillard, Jean, and Stephen Clark. "Learning Adjective Meanings with a Tensor-Based Skip-Gram Model." In Proceedings of the Nineteenth Conference on Computational Natural Language Learning. Association for Computational Linguistics, 2015. http://dx.doi.org/10.18653/v1/k15-1035.
Full textYan-hong, Feng, Yu Hong, Sun Geng, and Yu Xun-ran. "Domain named entity recognition method based on skip-gram model." In 2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS). IEEE, 2017. http://dx.doi.org/10.1109/eiis.2017.8298655.
Full textLazaridou, Angeliki, Nghia The Pham, and Marco Baroni. "Combining Language and Vision with a Multimodal Skip-gram Model." In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, 2015. http://dx.doi.org/10.3115/v1/n15-1016.
Full textPoulopoulos, Dimitris, and Athina Kalampogia. "Using a Skip-gram Architecture for Model Contextualization in CARS." In Special Session on Appliances for Data-Intensive and Time Critical Applications. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0008256304430446.
Full text