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    <titleInfo>
        <title>STYLUS: A Resource for Systematically Derived Language Usage</title>
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        <namePart type="given">Bonnie</namePart>
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            <namePart type="given">Peter</namePart>
            <namePart type="family">Machonis</namePart>
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        <name type="personal">
            <namePart type="given">Kristina</namePart>
            <namePart type="family">Kocijan</namePart>
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            <namePart type="given">Max</namePart>
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    <abstract>We describe a resource derived through extraction of a set of argument realizations from an existing lexical-conceptual structure (LCS) Verb Database of 500 verb classes (containing a total of 9525 verb entries) to include information about realization of arguments for a range of different verb classes. We demonstrate that our extended resource, called STYLUS (SysTematicallY Derived Language USe), enables systematic derivation of regular patterns of language usage without requiring manual annotation. We posit that both spatially oriented applications such as robot navigation and more general applications such as narrative generation require a layered representation scheme where a set of primitives (often grounded in space/motion such as GO) is coupled with a representation of constraints at the syntax-semantics interface. We demonstrate that the resulting resource covers three cases of lexico-semantic operations applicable to both language understanding and language generation.</abstract>
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%0 Conference Proceedings
%T STYLUS: A Resource for Systematically Derived Language Usage
%A Dorr, Bonnie
%A Voss, Clare
%Y Machonis, Peter
%Y Barreiro, Anabela
%Y Kocijan, Kristina
%Y Silberztein, Max
%S Proceedings of the First Workshop on Linguistic Resources for Natural Language Processing
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico, USA
%F dorr-voss-2018-stylus
%X We describe a resource derived through extraction of a set of argument realizations from an existing lexical-conceptual structure (LCS) Verb Database of 500 verb classes (containing a total of 9525 verb entries) to include information about realization of arguments for a range of different verb classes. We demonstrate that our extended resource, called STYLUS (SysTematicallY Derived Language USe), enables systematic derivation of regular patterns of language usage without requiring manual annotation. We posit that both spatially oriented applications such as robot navigation and more general applications such as narrative generation require a layered representation scheme where a set of primitives (often grounded in space/motion such as GO) is coupled with a representation of constraints at the syntax-semantics interface. We demonstrate that the resulting resource covers three cases of lexico-semantic operations applicable to both language understanding and language generation.
%U https://aclanthology.org/W18-3808
%P 57-64

Markdown (Informal)

[STYLUS: A Resource for Systematically Derived Language Usage](https://aclanthology.org/W18-3808) (Dorr & Voss, LR4NLP 2018)

• STYLUS: A Resource for Systematically Derived Language Usage (Dorr & Voss, LR4NLP 2018)

ACL

• Bonnie Dorr and Clare Voss. 2018. STYLUS: A Resource for Systematically Derived Language Usage. In Proceedings of the First Workshop on Linguistic Resources for Natural Language Processing, pages 57–64, Santa Fe, New Mexico, USA. Association for Computational Linguistics.