@inproceedings{stengel-eskin-etal-2020-universal,
title = "Universal Decompositional Semantic Parsing",
author = "Stengel-Eskin, Elias and
White, Aaron Steven and
Zhang, Sheng and
Van Durme, Benjamin",
editor = "Jurafsky, Dan and
Chai, Joyce and
Schluter, Natalie and
Tetreault, Joel",
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.acl-main.746",
doi = "10.18653/v1/2020.acl-main.746",
pages = "8427--8439",
abstract = "We introduce a transductive model for parsing into Universal Decompositional Semantics (UDS) representations, which jointly learns to map natural language utterances into UDS graph structures and annotate the graph with decompositional semantic attribute scores. We also introduce a strong pipeline model for parsing into the UDS graph structure, and show that our transductive parser performs comparably while additionally performing attribute prediction. By analyzing the attribute prediction errors, we find the model captures natural relationships between attribute groups.",
}
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%0 Conference Proceedings
%T Universal Decompositional Semantic Parsing
%A Stengel-Eskin, Elias
%A White, Aaron Steven
%A Zhang, Sheng
%A Van Durme, Benjamin
%Y Jurafsky, Dan
%Y Chai, Joyce
%Y Schluter, Natalie
%Y Tetreault, Joel
%S Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F stengel-eskin-etal-2020-universal
%X We introduce a transductive model for parsing into Universal Decompositional Semantics (UDS) representations, which jointly learns to map natural language utterances into UDS graph structures and annotate the graph with decompositional semantic attribute scores. We also introduce a strong pipeline model for parsing into the UDS graph structure, and show that our transductive parser performs comparably while additionally performing attribute prediction. By analyzing the attribute prediction errors, we find the model captures natural relationships between attribute groups.
%R 10.18653/v1/2020.acl-main.746
%U https://aclanthology.org/2020.acl-main.746
%U https://doi.org/10.18653/v1/2020.acl-main.746
%P 8427-8439
Markdown (Informal)
[Universal Decompositional Semantic Parsing](https://aclanthology.org/2020.acl-main.746) (Stengel-Eskin et al., ACL 2020)
ACL
- Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, and Benjamin Van Durme. 2020. Universal Decompositional Semantic Parsing. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8427–8439, Online. Association for Computational Linguistics.