Papers by Fatemah Yousef Almeman
GEAR: A Simple GENERATE, EMBED, AVERAGE AND RANK Approach for Unsupervised Reverse Dictionary (2025.coling-main)
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| Challenge: | Effective RD methods have applications in accessibility, translation or writing support systems. |
| Approach: | They propose a simple approach to RD that leverages LLMs and embedding models to obtain the most relevant word or set of words given a textual description or definition. |
| Outcome: | The proposed approach outperforms baselines in well studied RD datasets while showing less overfitting. |
WordNet under Scrutiny: Dictionary Examples in the Era of Large Language Models (2024.lrec-main)
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| Challenge: | Lexical resources are a repository of knowledge and are used for many tasks, including word sense disambiguation and etymology. |
| Approach: | They compare WordNet, the most commonly used lexical resource in NLP, with a variety of dictionaries and examples that were generated by ChatGPT. |
| Outcome: | The most commonly used lexical resource in NLP, with a variety of dictionaries and examples that were generated by ChatGPT. |