Papers by Nicolas Béchet

2 papers
Mama/Papa, Is this Text for Me? (2020.coling-main)

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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.

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