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        <title>A MWE lexicon formalism optimised for observational adequacy</title>
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        <namePart type="given">Adam</namePart>
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        <namePart type="given">Agata</namePart>
        <namePart type="family">Savary</namePart>
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    <name type="personal">
        <namePart type="given">Jean-Yves</namePart>
        <namePart type="family">Antoine</namePart>
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            <title>Proceedings of the 19th Workshop on Multiword Expressions (MWE 2023)</title>
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            <namePart type="given">Archna</namePart>
            <namePart type="family">Bhatia</namePart>
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        <name type="personal">
            <namePart type="given">Kilian</namePart>
            <namePart type="family">Evang</namePart>
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        <name type="personal">
            <namePart type="given">Marcos</namePart>
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        <name type="personal">
            <namePart type="given">Lifeng</namePart>
            <namePart type="family">Han</namePart>
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        <name type="personal">
            <namePart type="given">Shiva</namePart>
            <namePart type="family">Taslimipoor</namePart>
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    <abstract>Past research advocates that, in order to handle the unpredictable nature of multiword expressions (MWEs), their identification should be assisted with lexicons. The choice of the format for such lexicons, however, is far from obvious. We propose the first – to our knowledge – method to quantitatively evaluate some MWE lexicon formalisms based on the notion of observational adequacy. We apply it to derive a simple yet adequate MWE-lexicon formalism, dubbed λ-CSS, based on syntactic dependencies. It proves competitive with lexicons based on sequential representation of MWEs, and even comparable to a state-of-the art MWE identifier.</abstract>
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%0 Conference Proceedings
%T A MWE lexicon formalism optimised for observational adequacy
%A Lion-Bouton, Adam
%A Savary, Agata
%A Antoine, Jean-Yves
%Y Bhatia, Archna
%Y Evang, Kilian
%Y Garcia, Marcos
%Y Giouli, Voula
%Y Han, Lifeng
%Y Taslimipoor, Shiva
%S Proceedings of the 19th Workshop on Multiword Expressions (MWE 2023)
%D 2023
%8 May
%I Association for Computational Linguistics
%C Dubrovnik, Croatia
%F lion-bouton-etal-2023-mwe
%X Past research advocates that, in order to handle the unpredictable nature of multiword expressions (MWEs), their identification should be assisted with lexicons. The choice of the format for such lexicons, however, is far from obvious. We propose the first – to our knowledge – method to quantitatively evaluate some MWE lexicon formalisms based on the notion of observational adequacy. We apply it to derive a simple yet adequate MWE-lexicon formalism, dubbed λ-CSS, based on syntactic dependencies. It proves competitive with lexicons based on sequential representation of MWEs, and even comparable to a state-of-the art MWE identifier.
%R 10.18653/v1/2023.mwe-1.16
%U https://aclanthology.org/2023.mwe-1.16
%U https://doi.org/10.18653/v1/2023.mwe-1.16
%P 121-130

Markdown (Informal)

[A MWE lexicon formalism optimised for observational adequacy](https://aclanthology.org/2023.mwe-1.16) (Lion-Bouton et al., MWE 2023)

• A MWE lexicon formalism optimised for observational adequacy (Lion-Bouton et al., MWE 2023)

ACL

• Adam Lion-Bouton, Agata Savary, and Jean-Yves Antoine. 2023. A MWE lexicon formalism optimised for observational adequacy. In Proceedings of the 19th Workshop on Multiword Expressions (MWE 2023), pages 121–130, Dubrovnik, Croatia. Association for Computational Linguistics.