Papers by Maria R. Valentini
Measuring Contextual Informativeness in Child-Directed Text (2025.coling-main)
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Maria R. Valentini, Téa Y. Wright, Ali Marashian, Jennifer M. Ellis, Eliana Colunga, Katharina von der Wense
| Challenge: | Recent advances in natural language processing (NLP) have made it possible to generate children's stories with a single word. |
| Approach: | They propose a task of measuring contextual informativeness in children's stories and a large language model to automate the task. |
| Outcome: | The proposed method outperforms baselines and can generalize to measuring contextual informativeness in adult-directed text. |