Eliana Colunga — accepted AI-conference papers

2025

Measuring Contextual Informativeness in Child-Directed Text

Maria R. Valentini, Téa Y. Wright, Ali Marashian, Jennifer M. Ellis, Eliana Colunga, Katharina von der Wense

COLING 2025main

To address an important gap in creating children’s stories for vocabulary enrichment, we investigate the automatic evaluation of how well stories convey the semantics of target vocabulary words, a task with substantial implications for generating educational content. We motivate this task, which we…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗

2023

On the Automatic Generation and Simplification of Children's Stories

Maria Valentini, Jennifer Weber, Jesus Salcido, Téa Wright, Eliana Colunga, Katharina von der Wense

EMNLP 2023long main

With recent advances in large language models (LLMs), the concept of automatically generating children’s educational materials has become increasingly realistic. Working toward the goal of age-appropriate simplicity in generated educational texts, we first examine the ability of several popular LLMs…

Cited by 0 Source ↗Scholar ↗

2022

Morphological Processing of Low-Resource Languages: Where We Are and What’s Next

Adam Wiemerslage, Miikka Silfverberg, Changbing Yang, Arya McCarthy, Garrett Nicolai, Eliana Colunga +1

ACL 2022findings

Automatic morphological processing can aid downstream natural language processing applications, especially for low-resource languages, and assist language documentation efforts for endangered languages. Having long been multilingual, the field of computational morphology is increasingly moving towar…

Cited by 16 Source ↗PDF ↗code ↗Scholar ↗