Papers by Christiane Fellbaum
A Corpus-based Syntactic Analysis of Two-termed Unlike Coordination (2021.findings-emnlp)
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| Challenge: | a phenomenon of language that conjoins two or more terms or phrases using a coordinating conjunction is still largely elusive and widely debated amongst linguists. |
| Approach: | They propose to use a computational corpus-based approach to study two-termed unlike coordinations where the two conjuncts of the coordination phrase form valid constituents but have distinct categories. |
| Outcome: | The proposed analysis shows that the two conjuncts within unlike coordinations display different properties based on their position, supporting an antisymmetric view of the structure of coordination. |
MABEL: Attenuating Gender Bias using Textual Entailment Data (2022.emnlp-main)
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| Challenge: | Existing methods for mitigating gender bias in language models are insufficient or inconsistent. |
| Approach: | They propose a method for attenuating gender bias using entailment labels . they use a contrastive learning objective on counterfactually augmented enanglement pairs . |
| Outcome: | The proposed method outperforms previous task-agnostic debiasing approaches on intrinsic and extrinsic metrics and preserves task performance after fine-tuning on downstream tasks. |