Papers by Aline Étienne
Mama/Papa, Is this Text for Me? (2020.coling-main)
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Rashedur Rahman, Gwénolé Lecorvé, Aline Étienne, Delphine Battistelli, Nicolas Béchet, Jonathan Chevelu
| Challenge: | Existing methods to predict minimal age from which text can be understood for children are unresolved in computational linguistics. |
| Approach: | They propose a method which predicts the minimum age from which a text can be understood by a recurrent neural network. |
| Outcome: | The proposed method outperforms state-of-the-art models at sentence and text levels and achieves mean absolute errors of 1.86 and 2.28. |
Age Recommendation for Texts (2020.lrec-1)
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| Challenge: | adequacy of a text’s characteristics with the person’s capacities and knowledge is critical in the case of . a child since her/his cognitive and linguistic skills are still under development. |
| Approach: | They propose a natural language processing task which consists in predicting the age from which a text can be understood by someone. |
| Outcome: | The proposed model outperforms psycholinguist models on a French text dataset and shows that the results are more accurate than psycholingual models. |