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GloVe Embeddings

GloVe

357 papers tagged archive 2025-07-28

Introduced by Jeffrey Pennington et al. in GloVe: Global Vectors for Word Representation

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

GloVe Embeddings are a type of word embedding that encode the co-occurrence probability ratio between two words as vector differences. GloVe uses a weighted least squares objective J that minimizes the difference between the dot product of the vectors of two words and the logarithm of their number of co-occurrences:

J=∑_(i, j=1)ⱽf(𝑋_(i j))(wᵀᵢw̃ⱼ + bᵢ + b̃ⱼ - log𝑋ᵢⱼ)²

where wᵢ and bᵢ are the word vector and bias respectively of word i, w̃ⱼ and bⱼ are the context word vector and bias respectively of word j, Xᵢⱼ is the number of times word i occurs in the context of word j, and f is a weighting function that assigns lower weights to rare and frequent co-occurrences.

PaperSource

Papers archive 2025-07-28

30 shown of 357, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 245 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Word Embeddings156
Sentiment Analysis37
Sentence32
General Classification29
Text Classification26
Language Modelling22
Classification21
Transfer Learning21
text-classification19
Machine Translation17
Language Modeling16
Question Answering16
Retrieval14
Word Similarity14
Information Retrieval13
Semantic Textual Similarity13
Translation13
Articles12
Named Entity Recognition (NER)12
Semantic Similarity12

Usage over time archive 2025-07-28

Papers per year tagged with GloVe: 2014 to 2025, peak 63 63 0 2014: 2 papers 2014 2015: 2 papers 2015 2016: 13 papers 2016 2017: 22 papers 2017 2018: 41 papers 2018 2019: 55 papers 2019 2020: 63 papers 2020 2021: 55 papers 2021 2022: 25 papers 2022 2023: 33 papers 2023 2024: 30 papers 2024 2025: 16 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (357 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Static Word EmbeddingsWord Embeddings

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