mlsanityData to 7 Oct 2026

Distributional Semantics and Linguistic Theory

arXiv 1905.01896 ↗First posted 6 May 2019cs.CLcited by 53

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Abstract (arXiv)

Distributional semantics provides multi-dimensional, graded, empirically induced word representations that successfully capture many aspects of meaning in natural languages, as shown in a large body of work in computational linguistics; yet, its impact in theoretical linguistics has so far been limited. This review provides a critical discussion of the literature on distributional semantics, with an emphasis on methods and results that are of relevance for theoretical linguistics, in three areas: semantic change, polysemy and composition, and the grammar-semantics interface (specifically, the interface of semantics with syntax and with derivational morphology). The review aims at fostering greater cross-fertilization of theoretical and computational approaches to language, as a means to advance our collective knowledge of how it works.

Key facts. Cited by 53 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 May 2019.

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Citing papers per year: 2021: 7; 2022: 11; 2023: 10; 2024: 13; 2025: 5; 2026: 7.

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  1. 2023Grounding Large Language Models in Interactive Environments with Online Reinforcement Learningcited by 193
  2. 2023Getting aligned on representational alignmentcited by 142
  3. 2022Does CLIP Bind Concepts? Probing Compositionality in Large Image Modelscited by 101
  4. 2024Emergence of a High-Dimensional Abstraction Phase in Language Transformerscited by 56
  5. 2021Structural Persistence in Language Models: Priming as a Window into Abstract Language Representationscited by 44
  6. 2021On the proper role of linguistically-oriented deep net analysis in linguistic theorizingcited by 43
  7. 2021Word Acquisition in Neural Language Modelscited by 41
  8. 2022Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Reviewcited by 37
  9. 2021Symbolic Behaviour in Artificial Intelligencecited by 24
  10. 2022Unit Testing for Concepts in Neural Networkscited by 23
  11. 2024A Philosophical Introduction to Language Models -- Part I: Continuity With Classic Debatescited by 22
  12. 2021A comparative evaluation and analysis of three generations of Distributional Semantic Modelscited by 19
38 more
  1. 2022Semeval-2022 Task 1: CODWOE -- Comparing Dictionaries and Word Embeddingscited by 18
  2. 2023Meaning Representations from Trajectories in Autoregressive Modelscited by 18
  3. 2025LLMs as a synthesis between symbolic and distributed approaches to languagecited by 13
  4. 2023Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Predictioncited by 10
  5. 2023Stochastic LLMs do not Understand Language: Towards Symbolic, Explainable and Ontologically Based LLMscited by 9
  6. 2022Feature-rich multiplex lexical networks reveal mental strategies of early language learningcited by 6
  7. 2024Large language models and linguistic intentionalitycited by 6
  8. 2024LLMs' Understanding of Natural Language Revealedcited by 6
  9. 2026Deactivating Refusal Triggers: Understanding and Mitigating Overrefusal in Safety Alignmentcited by 6
  10. 2024Constructive Approach to Bidirectional Influence between Qualia Structure and Language Emergencecited by 5
  11. 2025Thunder-NUBench: A Benchmark for LLMs' Sentence-Level Negation Understandingcited by 5
  12. 2024Using Generative Text Models to Create Qualitative Codebooks for Student Evaluations of Teachingcited by 4
  13. 2025Dynamic Epistemic Friction in Dialoguecited by 4
  14. 2024A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applicationscited by 3
  15. 2024Are LLMs Models of Distributional Semantics? A Case Study on Quantifierscited by 3
  16. 2021Grover's Algorithm for Question Answeringcited by 2
  17. 2022Semantic properties of English nominal pluralization: Insights from word embeddingscited by 2
  18. 2022Making sense of spoken pluralscited by 2
  19. 2022The Analysis of Synonymy and Antonymy in Discourse Relations: An interpretable Modeling Approachcited by 2
  20. 2023Towards Explainable and Language-Agnostic LLMs: Symbolic Reverse Engineering of Language at Scalecited by 2
  21. 2023Harnessing Collective Intelligence Under a Lack of Cultural Consensuscited by 2
  22. 2025From the New World of Word Embeddings: A Comparative Study of Small-World Lexico-Semantic Networks in LLMscited by 2
  23. 2025Diagnosing the Performance Trade-off in Moral Alignment: A Case Study on Gender Stereotypescited by 2
  24. 2021TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corporacited by 1
  25. 2023Vec2Gloss: definition modeling leveraging contextualized vectors with Wordnet glosscited by 1
  26. 2023Mindful Explanations: Prevalence and Impact of Mind Attribution in XAI Researchcited by 1
  27. 2024Reinterpreting 'the Company a Word Keeps': Towards Explainable and Ontologically Grounded Language Modelscited by 1
  28. 2024Understanding Variational Autoencoders with Intrinsic Dimension and Information Imbalancecited by 1
  29. 2026A vector logic for intensional formal semanticscited by 1
  30. 2022Using dependency parsing for few-shot learning in distributional semanticscited by 0
  31. 2022Integrating Linguistic Theory and Neural Language Modelscited by 0
  32. 2022Jazz Contrafact Detectioncited by 0
  33. 2023Symbolic and Language Agnostic Large Language Modelscited by 0
  34. 2024Grounded learning for compositional vector semanticscited by 0
  35. 2024Domain Embeddings for Generating Complex Descriptions of Concepts in Italian Languagecited by 0
  36. 2024Do language models capture implied discourse meanings? An investigation with exhaustivity implicatures of Korean morphologycited by 0
  37. 2026Language Models Can Resolve Reference Compositionally, But It's Not Their Native Strength: The Case of the Personal Relation Taskcited by 0
  38. 2026Large-scale semantic mapping of learner agency and autonomy reveals what measurement and generative AI research overlookcited by 0

50 most cited of 53 All 53 (JSON)