<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="choudhary-oriordan-2022-cross">
    <titleInfo>
        <title>Cross-lingual Semantic Role Labelling with the ValPaL Database Knowledge</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Chinmay</namePart>
        <namePart type="family">Choudhary</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Colm</namePart>
        <namePart type="family">O’Riordan</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2022-05</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Eneko</namePart>
            <namePart type="family">Agirre</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Marianna</namePart>
            <namePart type="family">Apidianaki</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Ivan</namePart>
            <namePart type="family">Vulić</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Dublin, Ireland and Online</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Cross-lingual Transfer Learning typically involves training a model on a high-resource sourcelanguage and applying it to a low-resource tar-get language. In this work we introduce a lexi-cal database calledValency Patterns Leipzig(ValPal)which provides the argument patterninformation about various verb-forms in mul-tiple languages including low-resource langua-ges. We also provide a framework to integratethe ValPal database knowledge into the state-of-the-art LSTM based model for cross-lingualsemantic role labelling. Experimental resultsshow that integrating such knowledge resultedin am improvement in performance of the mo-del on all the target languages on which it isevaluated.</abstract>
    <identifier type="citekey">choudhary-oriordan-2022-cross</identifier>
    <identifier type="doi">10.18653/v1/2022.deelio-1.1</identifier>
    <location>
        <url>https://aclanthology.org/2022.deelio-1.1</url>
    </location>
    <part>
        <date>2022-05</date>
        <extent unit="page">
            <start>1</start>
            <end>10</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Cross-lingual Semantic Role Labelling with the ValPaL Database Knowledge
%A Choudhary, Chinmay
%A O’Riordan, Colm
%Y Agirre, Eneko
%Y Apidianaki, Marianna
%Y Vulić, Ivan
%S Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland and Online
%F choudhary-oriordan-2022-cross
%X Cross-lingual Transfer Learning typically involves training a model on a high-resource sourcelanguage and applying it to a low-resource tar-get language. In this work we introduce a lexi-cal database calledValency Patterns Leipzig(ValPal)which provides the argument patterninformation about various verb-forms in mul-tiple languages including low-resource langua-ges. We also provide a framework to integratethe ValPal database knowledge into the state-of-the-art LSTM based model for cross-lingualsemantic role labelling. Experimental resultsshow that integrating such knowledge resultedin am improvement in performance of the mo-del on all the target languages on which it isevaluated.
%R 10.18653/v1/2022.deelio-1.1
%U https://aclanthology.org/2022.deelio-1.1
%U https://doi.org/10.18653/v1/2022.deelio-1.1
%P 1-10

Markdown (Informal)

[Cross-lingual Semantic Role Labelling with the ValPaL Database Knowledge](https://aclanthology.org/2022.deelio-1.1) (Choudhary & O’Riordan, DeeLIO 2022)

• Cross-lingual Semantic Role Labelling with the ValPaL Database Knowledge (Choudhary & O’Riordan, DeeLIO 2022)

ACL

• Chinmay Choudhary and Colm O’Riordan. 2022. Cross-lingual Semantic Role Labelling with the ValPaL Database Knowledge. In Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, pages 1–10, Dublin, Ireland and Online. Association for Computational Linguistics.