---
title: "Who cites GloVe: Global Vectors for Word Representation —…"
description: "5,962 papers of the Elamur Research library cite «GloVe: Global Vectors for Word Representation», found in their bibliographies · page 6 of 6 · 501–514…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [GloVe: Global Vectors for Word Representation](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/) / [cited by](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/) / page 6

# Who cites «GloVe: Global Vectors for Word Representation»

5,962 papers of our library cite it (of the 140,884 whose bibliographies we read) · 514 with a page here, the most cited first · page 6 of 6 · 501–514 · [← the paper](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/)

[← prev](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/page/5/) [1](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/) … [5](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/page/5/) **6**

501. [**Siamese AraBERT-LSTM Model based Approach for Arabic Paraphrase Detection**Adnen Mahmoud, Mounir Zrigui*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/mahmoud-2022-siamese-arabert-lstm-model-based/)
502. [**Word-Embeddings Distinguish Denominal and Root-Derived Verbs in Semitic**Ido Benbaji, Omri Doron, Adele Henot-Mortier*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/benbaji-2022-word-embeddings-distinguish-denominal-root/)
503. [**Prepositional Phrase Attachment over Word Embedding Products**Pranava Swaroop Madhyastha, Xavier Carreras, Ariadna Quattoni*2017 · 1 citation*](https://md.research.elamur.ai/free/en/papers/madhyastha-2017-prepositional-phrase-attachment-over-word/)
504. [**AmDi - Ambiguous Words Diachronic Dataset**Felix Thielen, Kai Kugler*2026*](https://md.research.elamur.ai/free/en/papers/thielen-2026-amdi-ambiguous-words-diachronic-dataset/)
505. [**CAIT: A Syntactic Parsing Toolkit for Child–Adult InTeractions**Francesca Padovani, Xiulin Yang, Bastian Bunzeck, et al.*2026*](https://md.research.elamur.ai/free/en/papers/padovani-2026-cait-syntactic-parsing-toolkit-child/)
506. [**Evaluating Hierarchical Aggregation and LLM-Based Matching for Synset Selection in Ancient Greek**Luca Brigada Villa, Marco Passarotti, Chiara Zanchi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/villa-2026-evaluating-hierarchical-aggregation-llm-based/)
507. [**Modeling semantic association in self-paced reading with language model embeddings**Sara Møller Østergaard, Kenneth Enevoldsen, Afra Alishahi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ostergaard-2026-modeling-semantic-association-self-paced/)
508. [**One Word Is Not Enough: Simple Prompts Improve Word Embeddings**Rajeev Ranjan*2026*](https://md.research.elamur.ai/free/en/papers/ranjan-2026-one-word-is-not-enough/)
509. [**Push and Pull: Training Sentence Encoders with Contrastive Losses for Distance-Based Multi-Label Text Classification**Jens Van Nooten, Andriy Kosar*2026*](https://md.research.elamur.ai/free/en/papers/nooten-2026-push-pull-training-sentence-encoders/)
510. [**SemBench: A Universal Semantic Framework for LLM Evaluation**Mikel Zubillaga, Naiara Perez, Oscar Sainz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zubillaga-2026-sembench-universal-semantic-framework-llm/)
511. [**Studying Expert-ese: Profiling and Classification of Domain-Specific Language Variation in Architecture with Traditional Machine Learning and LLMs**Carmen Schacht, Renate Delucchi Danhier*2026*](https://md.research.elamur.ai/free/en/papers/schacht-2026-studying-expert-ese-profiling-classification/)
512. [**Universal Dependencies for Sindhi**John Bauer, Sakiina Shah, Muhammad Shaheer, et al.*2025*](https://md.research.elamur.ai/free/en/papers/bauer-2025-universal-dependencies-sindhi/)
513. [**Linguistic Features in Automatic Sarcasm Detection**Martina Ducret, Lauren Kruse, Carlos Martinez, et al.*2020*](https://md.research.elamur.ai/free/en/papers/ducret-2020-linguistic-features-automatic-sarcasm-detection/)
514. [**Recursive LSTM Tree Representation for Arc-Standard Transition-Based Dependency Parsing**Mohab Elkaref, Bernd Bohnet*2019*](https://md.research.elamur.ai/free/en/papers/elkaref-2019-recursive-lstm-tree-representation-arc/)

[← prev](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/page/5/) [1](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/) … [5](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/page/5/) **6**

5,448 more papers of our library cite it; they have no page here yet.

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