Papers by Melinda Fricke
Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching (2022.acl-long)
Copied to clipboard
| Challenge: | Prior approaches for predicting code-switching only consider shallow linguistic context. |
| Approach: | They hypothesize that enriching models with speaker information can guide them to pick up on relevant inductive biases. |
| Outcome: | The proposed model improves on a speaker-driven task in English–Spanish bilingual dialogues by adding sociolinguistically-grounded speaker features as prepended prompts. |