<div class="csl-bib-body">
<div class="csl-entry">Eiter, T., & Higuera Ruiz, N. N. (2022, November 29). <i>Elaboration for Neurosymbolic Compuation</i> [Conference Presentation]. TAASP - Workshop on Trends and Applications of Answer Set Programming, Wien, Austria.</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/153885
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dc.description.abstract
Neurosymbolic Computation aims to unify the two main
branches in AI, namely, neural networks and logic. Answer Set Program-
ming (ASP) is a good candidate for the logic part as it offers a declara-
tive and expressive language. We consider a Visual Question Answering
(VQA) problem, where we want to answer a question using visual input,
for which neural and neurosymbolic approaches achieved good results.
Our interest is here with elaboration of the questions, when new pred-
icates, of increasing sophistication, become available. To this end, we
experimentally compare a neural-based approach against a neurosym-
bolic one over the CLEVR dataset. The results show that the latter
approach is more robust to the new questions, achieving high accuracy,
and also provides the benefit of producing explainable answers. On the
downside, the neurosymbolic approach requires that the semantics of the
questions respective predicates have to be manually coded. Preliminary
work is being done to relieve this by using Inductive Logic Programming
to learn the semantics of the predicates.
Introduction. Visual Question Answering (VQA) is the field of problems wh
en
dc.description.sponsorship
Robert Bosch GmbH
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dc.language.iso
en
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dc.subject
Neurosymbolic Computation
en
dc.subject
Answer Set Programming
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dc.subject
Visual Question Answering
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dc.title
Elaboration for Neurosymbolic Compuation
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dc.type
Presentation
en
dc.type
Vortrag
de
dc.relation.grantno
114402 - TU Wien - Bosch
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dc.type.category
Conference Presentation
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tuw.project.title
Advanced context-based reasoning over heterogeneous data sources
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tuw.researchTopic.id
I1
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tuw.researchTopic.name
Logic and Computation
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E192-03 - Forschungsbereich Knowledge Based Systems
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tuw.author.orcid
0000-0001-6003-6345
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tuw.event.name
TAASP - Workshop on Trends and Applications of Answer Set Programming
en
tuw.event.startdate
28-11-2022
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tuw.event.enddate
29-11-2022
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Wien
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tuw.event.country
AT
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tuw.event.presenter
Higuera Ruiz, Nelson Nicolas
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.value
100
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item.languageiso639-1
en
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item.openairetype
conference paper not in proceedings
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item.grantfulltext
restricted
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_18cp
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crisitem.author.dept
E192-03 - Forschungsbereich Knowledge Based Systems
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crisitem.author.dept
E192-03 - Forschungsbereich Knowledge Based Systems
