mlsanityData to 7 Oct 2026

Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval

arXiv 1906.00041 ↗First posted 31 May 2019cs.IR cs.CL cs.LGcited by 37

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Abstract (arXiv)

Tables contain valuable knowledge in a structured form. We employ neural language modeling approaches to embed tabular data into vector spaces. Specifically, we consider different table elements, such caption, column headings, and cells, for training word and entity embeddings. These embeddings are then utilized in three particular table-related tasks, row population, column population, and table retrieval, by incorporating them into existing retrieval models as additional semantic similarity signals. Evaluation results show that table embeddings can significantly improve upon the performance of state-of-the-art baselines.

Key facts. Cited by 37 papers in the map (data through 7 Oct 2026). First posted on arXiv 31 May 2019.

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Citing papers per year: 2021: 13; 2022: 9; 2023: 4; 2024: 7; 2025: 3; 2026: 1.

37 papers.

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  1. 2024ColPali: Efficient Document Retrieval with Vision Language Modelscited by 190
  2. 2021TABBIE: Pretrained Representations of Tabular Datacited by 111
  3. 2022Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Taskscited by 42
  4. 2021TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Datacited by 36
  5. 2022PTab: Using the Pre-trained Language Model for Modeling Tabular Datacited by 30
  6. 2023TempTabQA: Temporal Question Answering for Semi-Structured Tablescited by 27
  7. 2021TCN: Table Convolutional Network for Web Table Interpretationcited by 24
  8. 2021Retrieving Complex Tables with Multi-Granular Graph Representation Learningcited by 24
  9. 2021Automated scholarly paper review: Concepts, technologies, and challengescited by 21
  10. 2024Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolutioncited by 19
  11. 2021Visual Understanding of Complex Table Structures from Document Imagescited by 17
  12. 2021Distilling Relation Embeddings from Pre-trained Language Modelscited by 15
25 more
  1. 2022DeepJoin: Joinable Table Discovery with Pre-trained Language Modelscited by 15
  2. 2024Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AIcited by 15
  3. 2021Multi-modal Retrieval of Tables and Texts Using Tri-encoder Modelscited by 11
  4. 2022Table Retrieval May Not Necessitate Table-specific Model Designcited by 11
  5. 2021Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspectivecited by 9
  6. 2021CLTR: An End-to-End, Transformer-Based System for Cell Level Table Retrieval and Table Question Answeringcited by 9
  7. 2024Enhancing Temporal Understanding in LLMs for Semi-structured Tablescited by 8
  8. 2022Realistic Data Augmentation Framework for Enhancing Tabular Reasoningcited by 4
  9. 2024Metadata-based Data Exploration with Retrieval-Augmented Generation for Large Language Modelscited by 4
  10. 2021Generating Table Vector Representationscited by 3
  11. 2022Enhancing Tabular Reasoning with Pattern Exploiting Trainingcited by 3
  12. 2022Leveraging Data Recasting to Enhance Tabular Reasoningcited by 3
  13. 2023Retrieval-Based Transformer for Table Augmentationcited by 3
  14. 2023InfoSync: Information Synchronization across Multilingual Semi-structured Tablescited by 3
  15. 2025ChartAB: A Benchmark for Chart Grounding & Dense Alignmentcited by 3
  16. 2024DALL-M: Context-Aware Clinical Data Augmentation with LLMscited by 2
  17. 2021BERT Meets Relational DB: Contextual Representations of Relational Databasescited by 1
  18. 2022Rows from Many Sources: Enriching row completions from Wikidata with a pre-trained Language Modelcited by 1
  19. 2023RelBERT: Embedding Relations with Language Modelscited by 1
  20. 2025Analytics Modelling over Multiple Datasets using Vector Embeddingscited by 1
  21. 2026Language Model Representations for Efficient Few-Shot Tabular Classificationcited by 1
  22. 2021Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)cited by 0
  23. 2022End-to-End Entity Detection with Proposer and Regressorcited by 0
  24. 2024Wiki-TabNER: Integrating Named Entity Recognition into Wikipedia Tablescited by 0
  25. 2025Evidence-Guided Schema Normalization for Temporal Tabular Reasoningcited by 0