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        <title>The ERG at MRP 2019: Radically Compositional Semantic Dependencies</title>
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            <title>Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning</title>
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            <namePart type="given">Stephan</namePart>
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            <namePart type="given">Omri</namePart>
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        <name type="personal">
            <namePart type="given">Jan</namePart>
            <namePart type="family">Hajic</namePart>
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            <namePart type="given">Tim</namePart>
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        <name type="personal">
            <namePart type="given">Nianwen</namePart>
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    <abstract>The English Resource Grammar (ERG) is a broad-coverage computational grammar of English that outputs underspecified logical-form representations of meaning in a framework dubbed English Resource Semantics (ERS). Two of the target representations in the the 2019 Shared Task on Cross-Framework Meaning Representation Parsing (MRP 2019) derive graph-based simplifications of ERS, viz. Elementary Dependency Structures (EDS) and DELPH-IN MRS Bi-Lexical Dependencies (DM). As a point of reference outside the official MRP competition, we parsed the evaluation strings using the ERG and converted the resulting meaning representations to EDS and DM. These graphs yield higher evaluation scores than the purely data-driven parsers in the actual shared task, suggesting that the general-purpose linguistic knowledge about English grammar encoded in the ERG can add value when parsing into these meaning representations.</abstract>
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    <identifier type="doi">10.18653/v1/K19-2003</identifier>
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%0 Conference Proceedings
%T The ERG at MRP 2019: Radically Compositional Semantic Dependencies
%A Oepen, Stephan
%A Flickinger, Dan
%Y Oepen, Stephan
%Y Abend, Omri
%Y Hajic, Jan
%Y Hershcovich, Daniel
%Y Kuhlmann, Marco
%Y O’Gorman, Tim
%Y Xue, Nianwen
%S Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong
%F oepen-flickinger-2019-erg
%X The English Resource Grammar (ERG) is a broad-coverage computational grammar of English that outputs underspecified logical-form representations of meaning in a framework dubbed English Resource Semantics (ERS). Two of the target representations in the the 2019 Shared Task on Cross-Framework Meaning Representation Parsing (MRP 2019) derive graph-based simplifications of ERS, viz. Elementary Dependency Structures (EDS) and DELPH-IN MRS Bi-Lexical Dependencies (DM). As a point of reference outside the official MRP competition, we parsed the evaluation strings using the ERG and converted the resulting meaning representations to EDS and DM. These graphs yield higher evaluation scores than the purely data-driven parsers in the actual shared task, suggesting that the general-purpose linguistic knowledge about English grammar encoded in the ERG can add value when parsing into these meaning representations.
%R 10.18653/v1/K19-2003
%U https://aclanthology.org/K19-2003
%U https://doi.org/10.18653/v1/K19-2003
%P 40-44

Markdown (Informal)

[The ERG at MRP 2019: Radically Compositional Semantic Dependencies](https://aclanthology.org/K19-2003) (Oepen & Flickinger, CoNLL 2019)

• The ERG at MRP 2019: Radically Compositional Semantic Dependencies (Oepen & Flickinger, CoNLL 2019)

ACL

• Stephan Oepen and Dan Flickinger. 2019. The ERG at MRP 2019: Radically Compositional Semantic Dependencies. In Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning, pages 40–44, Hong Kong. Association for Computational Linguistics.