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        <title>Made for Each Other: Broad-Coverage Semantic Structures Meet Preposition Supersenses</title>
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    <name type="personal">
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            <title>Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)</title>
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        <name type="personal">
            <namePart type="given">Mohit</namePart>
            <namePart type="family">Bansal</namePart>
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            <namePart type="family">Villavicencio</namePart>
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    <abstract>Universal Conceptual Cognitive Annotation (UCCA; Abend and Rappoport, 2013) is a typologically-informed, broad-coverage semantic annotation scheme that describes coarse-grained predicate-argument structure but currently lacks semantic roles. We argue that lexicon-free annotation of the semantic roles marked by prepositions, as formulated by Schneider et al. (2018), is complementary and suitable for integration within UCCA. We show empirically for English that the schemes, though annotated independently, are compatible and can be combined in a single semantic graph. A comparison of several approaches to parsing the integrated representation lays the groundwork for future research on this task.</abstract>
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    <identifier type="doi">10.18653/v1/K19-1017</identifier>
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%0 Conference Proceedings
%T Made for Each Other: Broad-Coverage Semantic Structures Meet Preposition Supersenses
%A Prange, Jakob
%A Schneider, Nathan
%A Abend, Omri
%Y Bansal, Mohit
%Y Villavicencio, Aline
%S Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong, China
%F prange-etal-2019-made
%X Universal Conceptual Cognitive Annotation (UCCA; Abend and Rappoport, 2013) is a typologically-informed, broad-coverage semantic annotation scheme that describes coarse-grained predicate-argument structure but currently lacks semantic roles. We argue that lexicon-free annotation of the semantic roles marked by prepositions, as formulated by Schneider et al. (2018), is complementary and suitable for integration within UCCA. We show empirically for English that the schemes, though annotated independently, are compatible and can be combined in a single semantic graph. A comparison of several approaches to parsing the integrated representation lays the groundwork for future research on this task.
%R 10.18653/v1/K19-1017
%U https://aclanthology.org/K19-1017
%U https://doi.org/10.18653/v1/K19-1017
%P 174-185

Markdown (Informal)

[Made for Each Other: Broad-Coverage Semantic Structures Meet Preposition Supersenses](https://aclanthology.org/K19-1017) (Prange et al., CoNLL 2019)

• Made for Each Other: Broad-Coverage Semantic Structures Meet Preposition Supersenses (Prange et al., CoNLL 2019)

ACL

• Jakob Prange, Nathan Schneider, and Omri Abend. 2019. Made for Each Other: Broad-Coverage Semantic Structures Meet Preposition Supersenses. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 174–185, Hong Kong, China. Association for Computational Linguistics.