Papers by Nicolas Béchet
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. |
Two Multilingual Corpora Extracted from the Tenders Electronic Daily for Machine Learning and Machine Translation Applications. (L18-1)
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| Challenge: | European "Tenders Electronic Daily" is a valuable source of semi-structured and multilingual data . collecting and managing such kind of data is incredibly burdensome and takes time and resources . |
| Approach: | They describe two documented and easy-to-use multilingual corpora extracted from the TED web site . they propose to make the extracted dataset available to the scientific community . |
| Outcome: | The proposed dataset is based on the European tenders electronic daily (TED) web site . it is easy to use and can be used for text mining and natural language processing tasks. |