Papers by Jennifer Weber
On the Automatic Generation and Simplification of Children’s Stories (2023.emnlp-main)
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| Challenge: | Recent advances in large language models (LLMs) have made it possible to generate children's educational texts with appropriate lexical and readability levels. |
| Approach: | They first examine the ability of several popular LLMs to generate stories with properly adjusted lexical and readability levels. |
| Outcome: | The proposed models can generalize to the domain of children's stories and create an efficient pipeline for their automatic generation. |
Representing the Toddler Lexicon: Do the Corpus and Semantics Matter? (2022.lrec-1)
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| Challenge: | Existing studies on child language development have relied on adult-based measures to model their lexicons. |
| Approach: | They propose to use transcripts of child-directed conversations, picture books and dialog from G-rated movies to approximate the language input a North American preschooler might hear. |
| Outcome: | The proposed model outperforms models based on the existing corpus and the existing model. |