Papers by Pia Weißenhorn

2 papers
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.

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