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.

References in zbMATH (referenced in 101 articles )

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  1. Berk Wheelock, Lauren; Pachamanova, Dessislava A.: Acceptable set topic modeling (2022)
  2. Gfrerer, Helmut; Outrata, Jiří V.; Valdman, Jan: On the solution of contact problems with Tresca friction by the semismooth* Newton method (2022)
  3. Haralampieva, Veneta; Caglayan, Ozan; Specia, Lucia: Supervised visual attention for simultaneous multimodal machine translation (2022)
  4. Hettiarachchi, Hansi; Adedoyin-Olowe, Mariam; Bhogal, Jagdev; Gaber, Mohamed Medhat: Embed2detect: temporally clustered embedded words for event detection in social media (2022)
  5. Koto, Fajri; Baldwin, Timothy; Lau, Jey Han: FFCI: a framework for interpretable automatic evaluation of summarization (2022)
  6. Kriebel, Johannes; Stitz, Lennart: Credit default prediction from user-generated text in peer-to-peer lending using deep learning (2022)
  7. Liu, Ruibo; Jia, Chenyan; Wei, Jason; Xu, Guangxuan; Vosoughi, Soroush: Quantifying and alleviating political bias in language models (2022)
  8. Loureiro, Daniel; Mário Jorge, Alípio; Camacho-Collados, Jose: LMMS reloaded: transformer-based sense embeddings for disambiguation and beyond (2022)
  9. Lu, Yaojie; Lin, Hongyu; Tang, Jialong; Han, Xianpei; Sun, Le: End-to-end neural event coreference resolution (2022)
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  11. Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, Ruslan Salakhutdinov: MultiViz: An Analysis Benchmark for Visualizing and Understanding Multimodal Models (2022) arXiv
  12. Ribeiro, Eugénio; Ribeiro, Ricardo; Martins de Matos, David: Automatic recognition of the general-purpose communicative functions defined by the ISO 24617-2 standard for dialog act annotation (2022)
  13. Shapiro, Adam Hale; Sudhof, Moritz; Wilson, Daniel J.: Measuring news sentiment (2022)
  14. Wang, Jing; Shen, Jie: Fast spectral analysis for approximate nearest neighbor search (2022)
  15. Xing, Bowen; Tsang, Ivor W.: Out of context: a new clue for context modeling of aspect-based sentiment analysis (2022)
  16. Yang, Yi; Zhang, Kunpeng; Fan, Yangyang: Analyzing firm reports for volatility prediction: a knowledge-driven text-embedding approach (2022)
  17. Zhang, Zhu; Wei, Xuan; Zheng, Xiaolong; Li, Qiudan; Zeng, Daniel Dajun: Detecting product adoption intentions via multiview deep learning (2022)
  18. Afantenos, Stergos; Kunze, Tarek; Lim, Suryani; Prade, Henri; Richard, Gilles: Analogies between sentences: theoretical aspects -- preliminary experiments (2021)
  19. Albert Weichselbraun: Inscriptis - A Python-based HTML to text conversion library optimized for knowledge extraction from the Web (2021) arXiv
  20. Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef: ast2vec: Utilizing Recursive Neural Encodings of Python Programs (2021) arXiv

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