XplaiNLI : Explainable Natural Language Inference through Visual Analytics

dc.contributor.authorKalouli, Aikaterini-Lida
dc.contributor.authorSevastjanova, Rita
dc.contributor.authorde Paiva, Valeria
dc.contributor.authorCrouch, Richard
dc.contributor.authorEl-Assady, Mennatallah
dc.date.accessioned2021-02-26T09:02:34Z
dc.date.available2021-02-26T09:02:34Z
dc.date.issued2020eng
dc.description.abstractAdvances in Natural Language Inference (NLI) have helped us understand what state-of-the-art models really learn and what their generalization power is. Recent research has revealed some heuristics and biases of these models. However, to date, there is no systematic effort to capitalize on those insights through a system that uses these to explain the NLI decisions. To this end, we propose XplaiNLI, an eXplainable, interactive, visualization interface that computes NLI with different methods and provides explanations for the decisions made by the different approaches.eng
dc.description.versionpublishedeng
dc.identifier.ppn1749500698
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/53009
dc.language.isoengeng
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.ddc004eng
dc.titleXplaiNLI : Explainable Natural Language Inference through Visual Analyticseng
dc.typeINPROCEEDINGSeng
dspace.entity.typePublication
kops.citation.bibtex
@inproceedings{Kalouli2020Xplai-53009,
  year={2020},
  title={XplaiNLI : Explainable Natural Language Inference through Visual Analytics},
  url={https://www.aclweb.org/anthology/2020.coling-demos.9/},
  isbn={978-1-952148-28-6},
  publisher={ACL},
  address={Stroudsburg, PA},
  booktitle={Proceedings of the 28th International Conference on Computational Linguistics : System Demonstrations},
  pages={48--52},
  editor={Ptaszynski, Michal and Ziolko, Bartosz},
  author={Kalouli, Aikaterini-Lida and Sevastjanova, Rita and de Paiva, Valeria and Crouch, Richard and El-Assady, Mennatallah}
}
kops.citation.iso690KALOULI, Aikaterini-Lida, Rita SEVASTJANOVA, Valeria DE PAIVA, Richard CROUCH, Mennatallah EL-ASSADY, 2020. XplaiNLI : Explainable Natural Language Inference through Visual Analytics. 28th International Conference on Computational Linguistics : System Demonstrations. Barcelona, 8. Dez. 2020 - 13. Dez. 2020. In: PTASZYNSKI, Michal, ed., Bartosz ZIOLKO, ed.. Proceedings of the 28th International Conference on Computational Linguistics : System Demonstrations. Stroudsburg, PA: ACL, 2020, pp. 48-52. ISBN 978-1-952148-28-6deu
kops.citation.iso690KALOULI, Aikaterini-Lida, Rita SEVASTJANOVA, Valeria DE PAIVA, Richard CROUCH, Mennatallah EL-ASSADY, 2020. XplaiNLI : Explainable Natural Language Inference through Visual Analytics. 28th International Conference on Computational Linguistics : System Demonstrations. Barcelona, Dec 8, 2020 - Dec 13, 2020. In: PTASZYNSKI, Michal, ed., Bartosz ZIOLKO, ed.. Proceedings of the 28th International Conference on Computational Linguistics : System Demonstrations. Stroudsburg, PA: ACL, 2020, pp. 48-52. ISBN 978-1-952148-28-6eng
kops.citation.rdf
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/53009">
    <dcterms:abstract xml:lang="eng">Advances in Natural Language Inference (NLI) have helped us understand what state-of-the-art models really learn and what their generalization power is. Recent research has revealed some heuristics and biases of these models. However, to date, there is no systematic effort to capitalize on those insights through a system that uses these to explain the NLI decisions. To this end, we propose XplaiNLI, an eXplainable, interactive, visualization interface that computes NLI with different methods and provides explanations for the decisions made by the different approaches.</dcterms:abstract>
    <dc:creator>Sevastjanova, Rita</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/45"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-02-26T09:02:34Z</dc:date>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Kalouli, Aikaterini-Lida</dc:contributor>
    <dc:creator>Crouch, Richard</dc:creator>
    <dcterms:title>XplaiNLI : Explainable Natural Language Inference through Visual Analytics</dcterms:title>
    <dc:contributor>El-Assady, Mennatallah</dc:contributor>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>El-Assady, Mennatallah</dc:creator>
    <dc:contributor>Sevastjanova, Rita</dc:contributor>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/53009/1/Kalouli_2-1io2p3cckids5.pdf"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/53009/1/Kalouli_2-1io2p3cckids5.pdf"/>
    <dc:rights>Attribution 4.0 International</dc:rights>
    <dc:creator>de Paiva, Valeria</dc:creator>
    <dc:creator>Kalouli, Aikaterini-Lida</dc:creator>
    <dc:contributor>Crouch, Richard</dc:contributor>
    <dcterms:issued>2020</dcterms:issued>
    <dc:contributor>de Paiva, Valeria</dc:contributor>
    <dc:language>eng</dc:language>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/53009"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-02-26T09:02:34Z</dcterms:available>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/45"/>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/>
  </rdf:Description>
</rdf:RDF>
kops.conferencefield28th International Conference on Computational Linguistics : System Demonstrations, 8. Dez. 2020 - 13. Dez. 2020, Barcelonadeu
kops.date.conferenceEnd2020-12-13eng
kops.date.conferenceStart2020-12-08eng
kops.description.openAccessopenaccessbookparteng
kops.flag.knbibliographytrue
kops.identifier.nbnurn:nbn:de:bsz:352-2-1io2p3cckids5
kops.location.conferenceBarcelonaeng
kops.sourcefieldPTASZYNSKI, Michal, ed., Bartosz ZIOLKO, ed.. <i>Proceedings of the 28th International Conference on Computational Linguistics : System Demonstrations</i>. Stroudsburg, PA: ACL, 2020, pp. 48-52. ISBN 978-1-952148-28-6deu
kops.sourcefield.plainPTASZYNSKI, Michal, ed., Bartosz ZIOLKO, ed.. Proceedings of the 28th International Conference on Computational Linguistics : System Demonstrations. Stroudsburg, PA: ACL, 2020, pp. 48-52. ISBN 978-1-952148-28-6deu
kops.sourcefield.plainPTASZYNSKI, Michal, ed., Bartosz ZIOLKO, ed.. Proceedings of the 28th International Conference on Computational Linguistics : System Demonstrations. Stroudsburg, PA: ACL, 2020, pp. 48-52. ISBN 978-1-952148-28-6eng
kops.title.conference28th International Conference on Computational Linguistics : System Demonstrationseng
kops.urlhttps://www.aclweb.org/anthology/2020.coling-demos.9/eng
kops.urlDate2020-12-15eng
relation.isAuthorOfPublication81637d9e-323d-4f17-bf75-5cfd69ba87b3
relation.isAuthorOfPublication1b968726-7a39-4abd-99c9-bd5eda6c5bac
relation.isAuthorOfPublicationb5024762-2f04-44ad-9c05-c6305f6e7f8b
relation.isAuthorOfPublication.latestForDiscovery81637d9e-323d-4f17-bf75-5cfd69ba87b3
source.bibliographicInfo.fromPage48eng
source.bibliographicInfo.toPage52eng
source.contributor.editorPtaszynski, Michal
source.contributor.editorZiolko, Bartosz
source.identifier.isbn978-1-952148-28-6eng
source.publisherACLeng
source.publisher.locationStroudsburg, PAeng
source.titleProceedings of the 28th International Conference on Computational Linguistics : System Demonstrationseng

Dateien

Originalbündel

Gerade angezeigt 1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
Kalouli_2-1io2p3cckids5.pdf
Größe:
453.18 KB
Format:
Adobe Portable Document Format
Beschreibung:
Kalouli_2-1io2p3cckids5.pdf
Kalouli_2-1io2p3cckids5.pdfGröße: 453.18 KBDownloads: 345

Lizenzbündel

Gerade angezeigt 1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
license.txt
Größe:
3.96 KB
Format:
Item-specific license agreed upon to submission
Beschreibung:
license.txt
license.txtGröße: 3.96 KBDownloads: 0