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title: "Lexical semantics & word embeddings — papers, page 2"
description: "Lexical semantics & word embeddings: 35 papers of the Elamur Research library · page 2 of 2 · 26–35, the most cited first."
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# 📖 Lexical semantics & word embeddings

35 papers · page 2 of 2 · 26–35 · the most cited first · [all topics](https://md.research.elamur.ai/free/en/topics/)

The meaning of words: senses, relations, lexicons, and words as vectors.

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26. [**Coarse Lexical Semantic Annotation with Supersenses: An Arabic Case Study**Nathan Schneider, Behrang Mohit, Kemal Oflazer, et al.*2012 · 24 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2012-coarse-lexical-semantic-annotation-supersenses/)
27. [**The Correct Place of Lexical Semantics in Interlingual MT**Lori Levin, Sergei Nirenburg*1994 · 14 citations*](https://md.research.elamur.ai/free/en/papers/levin-1994-correct-place-lexical-semantics-interlingual/)
28. [**The lexical pragmatics of count-mass polysemy**Ingrid L. Falkum*2017 · 13 citations*](https://md.research.elamur.ai/free/en/papers/falkum-2017-lexical-pragmatics-count-mass-polysemy/)
29. [**The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks**Dominik Schlechtweg, Sachin Yadav, Jonas Kuhn, et al.*2026 · 6 citations*](https://md.research.elamur.ai/free/en/papers/schlechtweg-2026-lscd-benchmark-testbed-diachronic-word/)
30. [**Cross-lingual Lexical Semantic Change in Romance Languages**Ana Sabina Uban, Liviu P Dinu, Anca Daniela Dinu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/uban-2026-cross-lingual-lexical-semantic-change/)
31. [**Lost in Translation: Repurposing semantic similarity benchmarks for evaluating lexical-semantic consistency in LLM-based machine translation**Quin Ye, Jelke Bloem*2026*](https://md.research.elamur.ai/free/en/papers/ye-2026-lost-translation-repurposing-semantic-similarity/)
32. [**Using BERT to Explore Lexical Semantic Change of Prepositions**Liudmila Radchankava, Vasily Konovalov*2026*](https://md.research.elamur.ai/free/en/papers/radchankava-2026-bert-explore-lexical-semantic-change/)
33. [**Idiomify — Building a Collocation-supplemented Reverse Dictionary of English Idioms with Word2Vec for non-native learners**Eu-Bin Kim*2022*](https://md.research.elamur.ai/free/en/papers/kim-2022-idiomify-building-collocation-supplemented-reverse/)
34. [**From polysemy to semantic change: remarks on the lexeme miṣwà in Biblical and Mishnaic Hebrew**Romina Vergari*2021*](https://md.research.elamur.ai/free/en/papers/vergari-2021-polysemy-semantic-change-remarks-lexeme/)
35. [**A Word Selection Model Based on Lexical Semantic Knowledge in English Generation**Yi-Dong Chen, Tang-Qiu Li, Xu-Ling Zheng*2003*](https://md.research.elamur.ai/free/en/papers/chen-2003-word-selection-model-based-lexical/)

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