mlsanityData to 7 Oct 2026

Word Embeddings: A Survey

arXiv 1901.09069 ↗First posted 25 Jan 2019cs.CL cs.LG stat.MLcited by 45

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Abstract (arXiv)

This work lists and describes the main recent strategies for building fixed-length, dense and distributed representations for words, based on the distributional hypothesis. These representations are now commonly called word embeddings and, in addition to encoding surprisingly good syntactic and semantic information, have been proven useful as extra features in many downstream NLP tasks.

Key facts. Cited by 45 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Jan 2019.

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Citing papers per year: 2021: 6; 2022: 12; 2023: 9; 2024: 8; 2025: 6; 2026: 4.

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  1. 2023Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibilitycited by 28
  2. 2024Strong and weak alignment of large language models with human valuescited by 27
  3. 2021Emergent Discrete Communication in Semantic Spacescited by 20
  4. 2023Cognitive Effects in Large Language Modelscited by 14
  5. 2024Enhancing Trust in LLMs: Algorithms for Comparing and Interpreting LLMscited by 9
  6. 2024GrEmLIn: A Repository of Green Baseline Embeddings for 87 Low-Resource Languages Injected with Multilingual Graph Knowledgecited by 7
  7. 2023PWESuite: Phonetic Word Embeddings and Tasks They Facilitatecited by 6
  8. 2022Reliable Measures of Spread in High Dimensional Latent Spacescited by 5
  9. 2022Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challengescited by 3
  10. 2022Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text Classificationcited by 3
  11. 2023Modularity in Deep Learning: A Surveycited by 3
  12. 2024Previously on the Stories: Recap Snippet Identification for Story Readingcited by 3
33 more
  1. 2024Analysis of Argument Structure Constructions in a Deep Recurrent Language Modelcited by 3
  2. 2025KEA Explain: Explanations of Hallucinations using Graph Kernel Analysiscited by 3
  3. 2025A comprehensive survey of contemporary Arabic sentiment analysis: Methods, Challenges, and Future Directionscited by 2
  4. 2025Towards Depth Foundation Model: Recent Trends in Vision-Based Depth Estimationcited by 2
  5. 2021EFloat: Entropy-coded Floating Point Format for Compressing Vector Embedding Modelscited by 1
  6. 2021A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference Resolutioncited by 1
  7. 2021Analyzing Scientific Publications using Domain-Specific Word Embedding and Topic Modellingcited by 1
  8. 2022Res-CNN-BiLSTM Network for overcoming Mental Health Disturbances caused due to Cyberbullying through Social Mediacited by 1
  9. 2022A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithmscited by 1
  10. 2024π-yalli: un nouveau corpus pour le nahuatlcited by 1
  11. 2025Analyzing the Safety of Japanese Large Language Models in Stereotype-Triggering Promptscited by 1
  12. 2021Knowledge-Base Enriched Word Embeddings for Biomedical Domaincited by 0
  13. 2021Supporting verification of news articles with automated search for semantically similar articlescited by 0
  14. 2022Explain and Conquer: Personalised Text-based Reviews to Achieve Transparencycited by 0
  15. 2022Using virtual edges to extract keywords from texts modeled as complex networkscited by 0
  16. 2022Performance Comparison of Simple Transformer and Res-CNN-BiLSTM for Cyberbullying Classificationcited by 0
  17. 2022A knowledge graph representation learning approach to predict novel kinase-substrate interactionscited by 0
  18. 2022Computational linguistics and Natural Language Processingcited by 0
  19. 2022Error in the Euclidean Preference Modelcited by 0
  20. 2022LSTM based models stability in the context of Sentiment Analysis for social mediacited by 0
  21. 2023Classifying Text-Based Conspiracy Tweets related to COVID-19 using Contextualized Word Embeddingscited by 0
  22. 2023Cancer-inspired Genomics Mapper Model for the Generation of Synthetic DNA Sequences with Desired Genomics Signaturescited by 0
  23. 2023Benchmarking quantized LLaMa-based models on the Brazilian Secondary School Examcited by 0
  24. 2023From Text to Trends: A Unique Garden Analytics Perspective on the Future of Modern Agriculturecited by 0
  25. 2023Transformer-based Named Entity Recognition in Construction Supply Chain Risk Management in Australiacited by 0
  26. 2024Understanding Archives: Towards New Research Interfaces Relying on the Semantic Annotation of Documentscited by 0
  27. 2024Simbanex: Similarity-based Exploration of IEEE VIS Publicationscited by 0
  28. 2025An Improved Deep Learning Model for Word Embeddings Based Clustering for Large Text Datasetscited by 0
  29. 2025TurkEmbed: Turkish Embedding Model on NLI & STS Taskscited by 0
  30. 2026Amnesia: Adversarial Semantic Layer Specific Activation Steering in Large Language Modelscited by 0
  31. 2026Tracing the Evolution of Word Embedding Techniques in Natural Language Processingcited by 0
  32. 2026How Psychological Learning Paradigms Shaped and Constrained Artificial Intelligencecited by 0
  33. 2026TerraNova: A Foundation Model for the Anthropocenecited by 0