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Spanish Abstract Meaning Representation: Annotation of a General Corpus ...
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Compositional Generalization Requires Compositional Parsers ...
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Normalizing Compositional Structures Across Graphbanks ...
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Abstract:
The emergence of a variety of graph-based meaning representations (MRs) has sparked an important conversation about how to adequately represent semantic structure. These MRs exhibit structural differences that reflect different theoretical and design considerations, presenting challenges to uniform linguistic analysis and cross-framework semantic parsing. Here, we ask the question of which design differences between MRs are meaningful and semantically-rooted, and which are superficial. We present a methodology for normalizing discrepancies between MRs at the compositional level (Lindemann et al., 2019), finding that we can normalize the majority of divergent phenomena using linguistically-grounded rules. Our work significantly increases the match in compositional structure between MRs and improves multi-task learning (MTL) in a low-resource setting, demonstrating the usefulness of careful MR design analysis and comparison. ... : 16 pages, 6 figures ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2004.14236 https://arxiv.org/abs/2004.14236
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A Continuation Semantics for Abstract Meaning Representation ...
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Graph-to-Graph Meaning Representation Transformations for Human-Robot Dialogue
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In: Proceedings of the Society for Computation in Linguistics (2020)
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Abstract Meaning Representation for Human-Robot Dialogue
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In: Proceedings of the Society for Computation in Linguistics (2019)
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Tense and Aspect Semantics for Sentential AMR
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In: Proceedings of the Society for Computation in Linguistics (2019)
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