---
title: "Who cites From Word Types to Tokens and — 20 citing papers"
description: "20 papers of the Elamur Research library cite «From Word Types to Tokens and Back: A Survey of Approaches to Word Meaning…"
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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/) / [From Word Types to Tokens and Back: A Survey of…](https://md.research.elamur.ai/free/en/papers/apidianaki-2023-word-types-tokens-back-survey/) / cited by

# Who cites «From Word Types to Tokens and Back: A Survey of Approaches to Word Meaning Representation and Interpretation»

20 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «From Word Types to Tokens and Back: A Survey of Approaches to Word Meaning Representation and Interpretation»](https://md.research.elamur.ai/free/en/papers/apidianaki-2023-word-types-tokens-back-survey/)

1. **[Polysemy–-Evidence from Linguistics, Behavioral Science, and Contextualized Language Models](https://md.research.elamur.ai/free/en/papers/haber-2024-polysemy-evidence-linguistics-behavioral-science/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Janosch Haber, Massimo Poesio*2024 · 44 citations*
2. **[Humans Learn Language from Situated Communicative Interactions. What about Machines?](https://md.research.elamur.ai/free/en/papers/beuls-2024-humans-learn-language-situated-communicative/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Katrien Beuls, Paul Van Eecke*2024 · 21 citations*
3. **[Lexical Semantics with Large Language Models: A Case Study of English “break”](https://md.research.elamur.ai/free/en/papers/petersen-2023-lexical-semantics-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Erika Petersen, Christopher Potts*2023 · 17 citations*
4. **[The "LLM World of Words" English free association norms generated by large language models](https://md.research.elamur.ai/free/en/papers/abramski-2024-llm-world-words-english-free/) [Scientific Data](https://md.research.elamur.ai/free/en/venues/scientific-data/)**Katherine Abramski, Riccardo Improta, Giulio Rossetti, et al.*2024 · 16 citations*
5. **[Investigating Idiomaticity in Word Representations](https://md.research.elamur.ai/free/en/papers/he-2025-investigating-idiomaticity-word-representations/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Wei He, Tiago Kramer Vieira, Marcos Garcia, et al.*2025 · 10 citations*
6. **[Position: A Semiotic-Hermeneutic Approach to Evaluating Meaning in LLM Summaries via the Inductive Conceptual Rating Metric](https://md.research.elamur.ai/free/en/papers/perez-2026-position-semiotic-hermeneutic-approach-evaluating/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Natalie Perez, Sreyoshi Bhaduri, Aman Chadha*2026*

14 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/apidianaki-2023-word-types-tokens-back-survey/) — From Word Types to Tokens and Back: A Survey of Approaches to Word Meaning Representation and Interpretation