Papers by Alice Pintard
TCFLE-8: a Corpus of Learner Written Productions for French as a Foreign Language and its Application to Automated Essay Scoring (2023.emnlp-main)
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| Challenge: | Automated Essay Scoring (AES) aims to automatically assess the quality of essays. |
| Approach: | They propose to use a corpus of 6.5k essays collected in the context of the Test de Connaissance du Français (TCF) certification exam to foster the development of AES for French. |
| Outcome: | The proposed system can assess the quality of essays in a language certification exam using a corpus of 6.5k essays collected in the TCFLE-8 exam. |
Exploring hybrid approaches to readability: experiments on the complementarity between linguistic features and transformers (2024.findings-eacl)
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| Challenge: | Linguistic features have been a key component of the automatic assessment of text readability (ARA) with the development in the ARA field, the research moved to Deep Learning (DL) |
| Approach: | They compare 6 hybrid approaches to Machine Learning and DL on 4 corpora and found they are the most robust on smaller datasets and across languages. |
| Outcome: | The proposed approaches perform better on smaller datasets and across languages and tasks. |
FABRA: French Aggregator-Based Readability Assessment toolkit (2022.lrec-1)
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Rodrigo Wilkens, David Alfter, Xiaoou Wang, Alice Pintard, Anaïs Tack, Kevin P. Yancey, Thomas François
| Challenge: | a large number of readability predictor variables are used to predict reading difficulty of texts . the most important predictors for native texts are lexical diversity, dependency counts and text coherence . |
| Approach: | They propose a readability toolkit based on aggregation of readability predictor variables . they show which features are most predictive on two different corpora . |
| Outcome: | The proposed toolkit improves performance over standard feature-based readability prediction. |