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# Who cites «Generationary or «How We Went beyond Word Sense Inventories and Learned to Gloss»»

48 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/lex-2020-bevilacqua-generationary/)

1. [Bridging Linguistic Structure and Mechanistic Interpretability for Conceptual Interpretation in Language Models](https://aclanthology.org/2026.conll-main.44/) *— 2026 · Proceedings of the 30th Conference on Computational Natural Language Learning*
2. [CLIX: Cross-Lingual Explanations of Idiomatic Expressions](https://aclanthology.org/2025.findings-acl.233/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
3. [CoAM: Corpus of All-Type Multiword Expressions](https://aclanthology.org/2025.acl-long.1311/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Definition Generation for Word Meaning Modeling: Monolingual, Multilingual, and Cross-Lingual Perspectives](https://aclanthology.org/2025.emnlp-main.1321/) *— 2025 · EMNLP 2025 (Suzhou)*
5. [Do Large Language Models Understand Word Senses?](https://md.mova.elamur.ai/free/en/docs/papers/lex-2025-meconi-llms-word-senses/) *— our card · 2025 · EMNLP 2025 (Suzhou)*
6. [Automatically Generated Definitions and their utility for Modeling Word Meaning](https://aclanthology.org/2024.emnlp-main.776/) *— 2024 · EMNLP 2024 (Miami)*
7. [DORE: A Dataset for Portuguese Definition Generation](https://aclanthology.org/2024.lrec-main.473/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
8. [Halu-NLP at SemEval-2024 Task 6: MetaCheckGPT - A Multi-task Hallucination Detection using LLM uncertainty and meta-models](https://aclanthology.org/2024.semeval-1.52/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
9. [Using Synchronic Definitions and Semantic Relations to Classify Semantic Change Types](https://aclanthology.org/2024.acl-long.249/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
10. [WordNet under Scrutiny: Dictionary Examples in the Era of Large Language Models](https://md.mova.elamur.ai/free/en/docs/papers/lex-2024-almeman-wordnet-examples-llm/) *— our card · 2024 · LREC-COLING 2024 (Torino)*
11. [Assisting Language Learners: Automated Trans-Lingual Definition Generation via Contrastive Prompt Learning](https://aclanthology.org/2023.bea-1.23/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
12. [Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis](https://md.mova.elamur.ai/free/en/docs/papers/lex-2023-giulianelli-definition-generation-senses/) *— our card · 2023 · ACL 2023 (Toronto)*
13. [Learning Disentangled Representations for Natural Language Definitions](https://aclanthology.org/2023.findings-eacl.101/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
14. [MWE as WSD: Solving Multiword Expression Identification with Word Sense Disambiguation](https://aclanthology.org/2023.findings-emnlp.14/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
15. [Vec2Gloss: definition modeling leveraging contextualized vectors with Wordnet gloss](https://aclanthology.org/2023.paclic-1.68/) *— 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation*
16. [A Unified Model for Reverse Dictionary and Definition Modelling](https://aclanthology.org/2022.aacl-short.2/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
17. [BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling](https://aclanthology.org/2022.semeval-1.3/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
18. [Fine-grained Contrastive Learning for Definition Generation](https://aclanthology.org/2022.aacl-main.73/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
19. [Multitasking Framework for Unsupervised Simple Definition Generation](https://aclanthology.org/2022.acl-long.409/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [Nibbling at the Hard Core of Word Sense Disambiguation](https://aclanthology.org/2022.acl-long.324/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
21. [Open Relation Modeling: Learning to Define Relations between Entities](https://aclanthology.org/2022.findings-acl.26/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
22. [Putting WordNet''s Dictionary Examples in the Context of Definition Modelling: An Empirical Analysis](https://aclanthology.org/2022.cogalex-1.6/) *— 2022 · Proceedings of the Workshop on Cognitive Aspects of the Lexicon*
23. [Semantic Role Labeling Meets Definition Modeling: Using Natural Language to Describe Predicate-Argument Structures](https://aclanthology.org/2022.findings-emnlp.313/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
24. [TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media](https://aclanthology.org/2022.coling-1.296/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
25. [Understanding Jargon: Combining Extraction and Generation for Definition Modeling](https://aclanthology.org/2022.emnlp-main.266/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
26. [Definition Modelling for Appropriate Specificity](https://aclanthology.org/2021.emnlp-main.194/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
27. [ESC: Redesigning WSD with Extractive Sense Comprehension](https://aclanthology.org/2021.naacl-main.371/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
28. [Exemplification Modeling: Can You Give Me an Example, Please?](https://www.ijcai.org/proceedings/2021/520) *— 2021 · IJCAI 2021*
29. [Framing Word Sense Disambiguation as a Multi-Label Problem for Model-Agnostic Knowledge Integration](https://aclanthology.org/2021.eacl-main.286/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
30. [GeneSis: A Generative Approach to Substitutes in Context](https://aclanthology.org/2021.emnlp-main.844/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
31. [PROTAUGMENT: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning](https://aclanthology.org/2021.acl-long.191/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
32. [REBEL: Relation Extraction By End-to-end Language generation](https://aclanthology.org/2021.findings-emnlp.204/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
33. [Recent Trends in Word Sense Disambiguation: A Survey](https://www.ijcai.org/proceedings/2021/593) *— 2021 · IJCAI-21*
34. [With More Contexts Comes Better Performance: Contextualized Sense Embeddings for All-Round Word Sense Disambiguation](https://aclanthology.org/2020.emnlp-main.285/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
35. almeman-2025-gear-simple-generate-embed-average
36. barba-2023-dmlm-descriptive-masked-language-modeling
37. borkakoty-2023-wikitide-wikipedia-based-timestamped-definition
38. ciaccio-2025-evaluating-lexical-proficiency-neural-language
39. ellinger-2025-simplifications-are-absolutists-how-simplified
40. gajbhiye-2024-amended-modelling-concepts-aligning-mentions
41. harvill-2023-one-shot-few-shot-exemplification
42. huang-2023-ver-unifying-verbalizing-entities-relations
43. kazakouskaya-2025-adapting-definition-modeling-new-languages
44. korencic-2022-irb-nlp-semeval-2022-task
45. olivares-2025-sandwich-semantical-analysis-neighbours-disambiguating
46. srivastava-2022-tldr-semeval-2022-task-1
47. sumanathilaka-2026-exploration-analysis-disambiguation-reasoning-framework
48. wojtasik-2023-wordnet-definition-augmentation-encoder-decoder
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