GloVe

GloVe: Global Vectors for Word Representation. GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 58 articles )

Showing results 1 to 20 of 58.
Sorted by year (citations)

1 2 3 next

  1. Albert Weichselbraun: Inscriptis - A Python-based HTML to text conversion library optimized for knowledge extraction from the Web (2021) arXiv
  2. Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef: ast2vec: Utilizing Recursive Neural Encodings of Python Programs (2021) arXiv
  3. Koyyalagunta, Divya; Sun, Anna; Draelos, Rachel Lea; Rudin, Cynthia: Playing codenames with language graphs and word embeddings (2021)
  4. Mingxiang Chen, Zhanguo Chang, Haonan Lu, Bitao Yang, Zhuang Li, Liufang Guo, Zhecheng Wang: AugNet: End-to-End Unsupervised Visual Representation Learning with Image Augmentation (2021) arXiv
  5. Yan, Xiaohan; Bien, Jacob: Rare feature selection in high dimensions (2021)
  6. Aggarwal, Charu C.: Linear algebra and optimization for machine learning. A textbook (2020)
  7. Bassu, Devasis; Jones, Peter W.; Ness, Linda; Shallcross, David: Product formalisms for measures on spaces with binary tree structures: representation, visualization, and multiscale noise (2020)
  8. Che, Chao; Zhou, Chengjie; Zhao, Hanyu; Jin, Bo; Gao, Zhan: Fast and effective biomedical named entity recognition using temporal convolutional network with conditional random field (2020)
  9. Dillon Niederhut: niacin: A Python package for text data enrichment (2020) not zbMATH
  10. Hoiles, William; Krishnamurthy, Vikram; Pattanayak, Kunal: Rationally inattentive inverse reinforcement learning explains YouTube commenting behavior (2020)
  11. Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang, Tarek Abdelzaher: paper2repo: GitHub Repository Recommendation for Academic Papers (2020) arXiv
  12. Jiang, Zilong; Gao, Shu; Chen, Liangchen: Study on text representation method based on deep learning and topic information (2020)
  13. Jisung Yoon, Kai-Cheng Yang, Woo-Sung Jung, Yong-Yeol Ahn: Persona2vec: A Flexible Multi-role Representations Learning Framework for Graphs (2020) arXiv
  14. Kazemi, Seyed Mehran; Goel, Rishab; Jain, Kshitij; Kobyzev, Ivan; Sethi, Akshay; Forsyth, Peter; Poupart, Pascal: Representation learning for dynamic graphs: a survey (2020)
  15. Lee, Gee Y.; Manski, Scott; Maiti, Tapabrata: Actuarial applications of word embedding models (2020)
  16. Mousavi, Ahmad; Rezaee, Mehdi; Ayanzadeh, Ramin: A survey on compressive sensing: classical results and recent advancements (2020)
  17. Nguyen, Thi Thanh Sang; Do, Pham Minh Thu: Classification optimization for training a large dataset with naïve Bayes (2020)
  18. Pieter Delobelle, Thomas Winters, Bettina Berendt: RobBERT: a Dutch RoBERTa-based Language Model (2020) arXiv
  19. Ruiz, Francisco J. R.; Athey, Susan; Blei, David M.: SHOPPER: a probabilistic model of consumer choice with substitutes and complements (2020)
  20. Shi, Min; Tang, Yufei; Zhu, Xingquan; Liu, Jianxun; He, Haibo: Topical network embedding (2020)

1 2 3 next