Papers by M. Willis Monroe
Compositionality of Complex Graphemes in the Undeciphered Proto-Elamite Script using Image and Text Embedding Models (2021.findings-acl)
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| Challenge: | a language model over sign images produces more interpretable results than a model over text . a new language model is developed to abstract from human annotators . |
| Approach: | They propose a language modeling architecture which operates over sequences of images or over multimodal sequences with associated labels. |
| Outcome: | The proposed language model can interpret signs in the undeciphered proto-Elamite script . it also provides a novel way to abstract away from biases introduced by human annotators. |