Papers by Amalia Todirascu
GeNRe: A French Gender-Neutral Rewriting System Using Collective Nouns (2025.findings-acl)
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| Challenge: | Gender rewriting is an NLP task that uses gendered forms to mitigate gender biases. |
| Approach: | They propose a French gender-neutral rewriting system using collective nouns, which are gender-fixed in French. |
| Outcome: | The proposed system detects gendered forms and replaces them with neutral or opposite forms. |
Simplifying Coreference Chains for Dyslexic Children (2020.lrec-1)
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| Challenge: | Existing systems to generate adapted content for dyslexic children for French address specific audiences. |
| Approach: | They propose a system to transform texts at the discourse level by using rules to modify coreference chains, which are markers of text cohesion, in the context of the ALECTOR project. |
| Outcome: | The proposed system can generate adapted content for dyslexic children for French, in the context of the ALECTOR project. |
HECTOR: A Hybrid TExt SimplifiCation TOol for Raw Texts in French (2022.lrec-1)
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| Challenge: | Existing systems for automatic text simplification (ATS) focus on lexical and syntactic transformations, but there is no end-to-end system for French. |
| Approach: | They propose to use word embeddings for lexical simplification and rule-based strategies for syntax and discourse adaptations to improve the complexity of texts. |
| Outcome: | The proposed system performs at lexical, syntactic and discourse levels according to automatic and humanevaluations. |
French Coreference for Spoken and Written Language (2020.lrec-1)
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| Challenge: | In French, most coreference resolution systems run different setups, making comparisons difficult. |
| Approach: | They present a full-stack model that outperforms other approaches for coreference resolution in French . they compare it with the first end-to-end neural French coreference model trained on democrat . |
| Outcome: | The proposed model outperforms the current systems for spoken and written French. |