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        <title>DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers</title>
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    <name type="personal">
        <namePart type="given">Jesse</namePart>
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        <namePart type="given">Jaime</namePart>
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    <name type="personal">
        <namePart type="given">Lori</namePart>
        <namePart type="family">Levin</namePart>
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        <dateIssued>2018-oct-nov</dateIssued>
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            <title>Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing</title>
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            <namePart type="given">Ellen</namePart>
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        <name type="personal">
            <namePart type="given">David</namePart>
            <namePart type="family">Chiang</namePart>
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            <namePart type="given">Julia</namePart>
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            <namePart type="given">Jun’ichi</namePart>
            <namePart type="family">Tsujii</namePart>
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    <abstract>This paper introduces the surface construction labeling (SCL) task, which expands the coverage of Shallow Semantic Parsing (SSP) to include frames triggered by complex constructions. We present DeepCx, a neural, transition-based system for SCL. As a test case for the approach, we apply DeepCx to the task of tagging causal language in English, which relies on a wider variety of constructions than are typically addressed in SSP. We report substantial improvements over previous tagging efforts on a causal language dataset. We also propose ways DeepCx could be extended to still more difficult constructions and to other semantic domains once appropriate datasets become available.</abstract>
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    <identifier type="doi">10.18653/v1/D18-1196</identifier>
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        <date>2018-oct-nov</date>
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%0 Conference Proceedings
%T DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers
%A Dunietz, Jesse
%A Carbonell, Jaime
%A Levin, Lori
%Y Riloff, Ellen
%Y Chiang, David
%Y Hockenmaier, Julia
%Y Tsujii, Jun’ichi
%S Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
%D 2018
%8 oct nov
%I Association for Computational Linguistics
%C Brussels, Belgium
%F dunietz-etal-2018-deepcx
%X This paper introduces the surface construction labeling (SCL) task, which expands the coverage of Shallow Semantic Parsing (SSP) to include frames triggered by complex constructions. We present DeepCx, a neural, transition-based system for SCL. As a test case for the approach, we apply DeepCx to the task of tagging causal language in English, which relies on a wider variety of constructions than are typically addressed in SSP. We report substantial improvements over previous tagging efforts on a causal language dataset. We also propose ways DeepCx could be extended to still more difficult constructions and to other semantic domains once appropriate datasets become available.
%R 10.18653/v1/D18-1196
%U https://aclanthology.org/D18-1196/
%U https://doi.org/10.18653/v1/D18-1196
%P 1691-1701

Markdown (Informal)

[DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers](https://aclanthology.org/D18-1196/) (Dunietz et al., EMNLP 2018)

• DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers (Dunietz et al., EMNLP 2018)

ACL

• Jesse Dunietz, Jaime Carbonell, and Lori Levin. 2018. DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 1691–1701, Brussels, Belgium. Association for Computational Linguistics.