mlsanityData to 7 Oct 2026

An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation

arXiv 1607.05368 ↗First posted 19 Jul 2016cs.CLcited by 48

Not on the map. Why?

Abstract (arXiv)

Recently, Le and Mikolov (2014) proposed doc2vec as an extension to word2vec (Mikolov et al., 2013a) to learn document-level embeddings. Despite promising results in the original paper, others have struggled to reproduce those results. This paper presents a rigorous empirical evaluation of doc2vec over two tasks. We compare doc2vec to two baselines and two state-of-the-art document embedding methodologies. We found that doc2vec performs robustly when using models trained on large external corpora, and can be further improved by using pre-trained word embeddings. We also provide recommendations on hyper-parameter settings for general purpose applications, and release source code to induce document embeddings using our trained doc2vec models.

Key facts. Cited by 48 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Jul 2016.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 19; 2022: 6; 2023: 9; 2024: 7; 2025: 6; 2026: 1.

48 papers.

Sort:

By area:

  1. 2021MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extractioncited by 20
  2. 2021Identifying Machine-Paraphrased Plagiarismcited by 16
  3. 2024Diversified Batch Selection for Training Accelerationcited by 14
  4. 2021Learning Models for Suicide Prediction from Social Media Postscited by 10
  5. 2023CarExpert: Leveraging Large Language Models for In-Car Conversational Question Answeringcited by 10
  6. 2021Unsupervised Deep Keyphrase Generationcited by 7
  7. 2021A News-based Machine Learning Model for Adaptive Asset Pricingcited by 7
  8. 2021We've had this conversation before: A Novel Approach to Measuring Dialog Similaritycited by 7
  9. 2021Data Augmentation for Mental Health Classification on Social Mediacited by 7
  10. 2022Lbl2Vec: An Embedding-Based Approach for Unsupervised Document Retrieval on Predefined Topicscited by 7
  11. 2023Computational thematics: Comparing algorithms for clustering the genres of literary fictioncited by 5
  12. 2024SlideSpawn: An Automatic Slides Generation System for Research Publicationscited by 5
36 more
  1. 2021quantum Case-Based Reasoning (qCBR)cited by 4
  2. 2021Evaluating Document Representations for Content-based Legal Literature Recommendationscited by 4
  3. 2021Neural Embeddings of Urban Big Data Reveal Emergent Structures in Citiescited by 2
  4. 2024EUREKHA: Enhancing User Representation for Key Hackers Identification in Underground Forumscited by 2
  5. 2025Deep Reversible Consistency Learning for Cross-modal Retrievalcited by 2
  6. 2021Contextual Text Embeddings for Twicited by 1
  7. 2022Stock2Vec: An Embedding to Improve Predictive Models for Companiescited by 1
  8. 2023Are the Best Multilingual Document Embeddings simply Based on Sentence Embeddings?cited by 1
  9. 2024Probabilistic Topic Modelling with Transformer Representationscited by 1
  10. 2024Manufacturing Service Capability Prediction with Graph Neural Networkscited by 1
  11. 2024Implementing NLPs in industrial process modeling: Addressing Categorical Variablescited by 1
  12. 2025A Method for Handling Negative Similarities in Explainable Graph Spectral Clustering of Text Documents -- Extended Versioncited by 1
  13. 2025Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrievalcited by 1
  14. 2021Advances in Electron Microscopy with Deep Learningcited by 0
  15. 2021Modelling the Impact of Scandals: the case of the 2017 French Presidential Electioncited by 0
  16. 2021Back Translation Survey for Improving Text Augmentationcited by 0
  17. 2021Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis managementcited by 0
  18. 2021On Representation Learning for Scientific News Articles Using Heterogeneous Knowledge Graphscited by 0
  19. 2021MOOCRep: A Unified Pre-trained Embedding of MOOC Entitiescited by 0
  20. 2021We went to look for meaning and all we got were these lousy representations: aspects of meaning representation for computational semanticscited by 0
  21. 2021A Deep Learning Approach for Ontology Enrichment from Unstructured Textcited by 0
  22. 2022Suggesting Relevant Questions for a Query Using Statistical Natural Language Processing Techniquecited by 0
  23. 2022Using Full-Text Content to Characterize and Identify Best Seller Bookscited by 0
  24. 2022Keywords for Biascited by 0
  25. 2022Submission-Aware Reviewer Profiling for Reviewer Recommender Systemcited by 0
  26. 2023A Benchmark Study by using various Machine Learning Models for Predicting Covid-19 trendscited by 0
  27. 2023XAI in Computational Linguistics: Understanding Political Leanings in the Slovenian Parliamentcited by 0
  28. 2023Detection of depression on social networks using transformers and ensemblescited by 0
  29. 2023Semi-automated extraction of research topics and trends from NCI funding in radiological sciences from 2000-2020cited by 0
  30. 2023Vulgar Remarks Detection in Chittagonian Dialect of Banglacited by 0
  31. 2023Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detectioncited by 0
  32. 2024A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labelscited by 0
  33. 2025Explainable Graph Spectral Clustering For GloVe-like Text Embeddingscited by 0
  34. 2025Language-Independent Sentiment Labelling with Distant Supervision: A Case Study for English, Sepedi and Setswanacited by 0
  35. 2025Neighbor-aware Instance Refining with Noisy Labels for Cross-Modal Retrievalcited by 0
  36. 2026PRecG: Legal Precedent Retrieval with Graph Neural Networks and Rhetorical Role Segmentationcited by 0