Papers by Bill Dyer
Leveraging Syntactic Dependencies in Disambiguation: The Case of African American English (2024.lrec-main)
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| Challenge: | African American English (AAE) is a low-resource language facing the challenge of inadequate annotated data for training natural language processing models. |
| Approach: | They propose a syntactically informed classifier for automatic disambiguation of AAE's habitual be. |
| Outcome: | The proposed classifier improves automatic disambiguation of habitual and non-habitual meanings of "be" integrating syntactic information improves disambiguations of habituality by 65 F1 points over baseline models and as much as 74 points. |