Papers by Pia Weißenhorn
Normalizing Compositional Structures Across Graphbanks (2020.coling-main)
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| Challenge: | Graph-based meaning representations (MRs) exhibit structural differences that reflect different theoretical and design considerations, presenting challenges to uniform linguistic analysis and cross-framework semantic parsing. |
| Approach: | They propose a method to normalize MRs at the compositional level by linguistically-grounded rules. |
| Outcome: | The proposed method increases the match in compositional structure between MRs and improves multi-task learning in a low-resource setting. |
Compositional generalization with a broad-coverage semantic parser (2022.starsem-1)
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| Challenge: | Recent work has shown that compositional generalization on COGS is difficult and complex. |
| Approach: | They propose a compositional semantic parser that solves compositional generalization on COGS dataset. |
| Outcome: | The AM parser solves compositional generalization on the COGS dataset. |