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    <titleInfo>
        <title>Spanish Abstract Meaning Representation: Annotation of a General Corpus</title>
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    <name type="personal">
        <namePart type="given">Shira</namePart>
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    <name type="personal">
        <namePart type="given">Lucia</namePart>
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    <name type="personal">
        <namePart type="given">Calvin</namePart>
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    <name type="personal">
        <namePart type="given">Alex</namePart>
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    <name type="personal">
        <namePart type="given">Leonie</namePart>
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    <name type="personal">
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            <title>Northern European Journal of Language Technology</title>
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            <publisher>Linköping University Electronic Press</publisher>
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    <abstract>Abstract Meaning Representation (AMR), originally designed for English, has been adapted to a number of languages to facilitate cross-lingual semantic representation and analysis. We build on previous work and present the first sizable, general annotation project for Spanish AMR. We release a detailed set of annotation guidelines and a corpus of 486 gold-annotated sentences spanning multiple genres from an existing, cross-lingual AMR corpus. Our work constitutes the second largest non-English gold AMR corpus to date. Fine-tuning an AMR to-Spanish generation model with our annotations results in a BERTScore improvement of 8.8%, demonstrating initial utility of our work.</abstract>
    <identifier type="citekey">wein-2022-spanish</identifier>
    <identifier type="doi">10.3384/nejlt.2000-1533.2022.4462</identifier>
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        <date>2022</date>
        <detail type="volume"><number>8</number></detail>
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%0 Journal Article
%T Spanish Abstract Meaning Representation: Annotation of a General Corpus
%A Wein, Shira
%A Donatelli, Lucia
%A Ricker, Ethan
%A Engstrom, Calvin
%A Nelson, Alex
%A Harter, Leonie
%A Schneider, Nathan
%J Northern European Journal of Language Technology
%D 2022
%V 8
%I Linköping University Electronic Press
%C Linköping, Sweden
%F wein-2022-spanish
%X Abstract Meaning Representation (AMR), originally designed for English, has been adapted to a number of languages to facilitate cross-lingual semantic representation and analysis. We build on previous work and present the first sizable, general annotation project for Spanish AMR. We release a detailed set of annotation guidelines and a corpus of 486 gold-annotated sentences spanning multiple genres from an existing, cross-lingual AMR corpus. Our work constitutes the second largest non-English gold AMR corpus to date. Fine-tuning an AMR to-Spanish generation model with our annotations results in a BERTScore improvement of 8.8%, demonstrating initial utility of our work.
%R 10.3384/nejlt.2000-1533.2022.4462
%U https://aclanthology.org/2022.nejlt-1.6/
%U https://doi.org/10.3384/nejlt.2000-1533.2022.4462

Markdown (Informal)

[Spanish Abstract Meaning Representation: Annotation of a General Corpus](https://aclanthology.org/2022.nejlt-1.6/) (Wein et al., NEJLT 2022)

• Spanish Abstract Meaning Representation: Annotation of a General Corpus (Wein et al., NEJLT 2022)

ACL

• Shira Wein, Lucia Donatelli, Ethan Ricker, Calvin Engstrom, Alex Nelson, Leonie Harter, and Nathan Schneider. 2022. Spanish Abstract Meaning Representation: Annotation of a General Corpus. Northern European Journal of Language Technology, 8.