Field
Value
Language
dc.contributor.author
Yalçın, Özge Nilay
datacite.creator.affiliationIdentifier
https://ror.org/0213rcc28;https://ror.org/03rmrcq20
en_US
datacite.creator.affiliation
Simon Fraser University; University of British Columbia
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0002-8898-0466
en_US
dc.date.accessioned
2022-01-11T06:46:42Z
dc.date.available
2022-01-11T06:46:42Z
dc.date.issued
2022-01-11
dc.identifier.uri
https://www.frdr-dfdr.ca/repo/dataset/95b16773-14b2-4201-9640-0635a671d409
dc.identifier.uri
https://doi.org/10.20383/102.0534
dc.description
Database includes the trained models for the M-Path: https://github.com/onyalcin/M-PATH
Likert model is a fine-tuned language model based on BERT, using PyTorch. The model is intended to assign a sentiment classification (negative-positive-neutral) to free-form text input answering survey questions with a 5-level likert scale measurement of frequency. The model is used in M-PATH system, An Empathic Embodied Conversational Agent, published in Github -- the Github repository includes the empathic dialogue management system for an embodied conversational agent, which is created at iVizLab, at Simon Fraser University.
en_US
dc.publisher
Federated Research Data Repository / dépôt fédéré de données de recherche
dc.rights
Creative Commons Attribution 4.0 International (CC BY 4.0)
en_US
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
en_US
dc.subject
empathy
en_US
dc.subject
artificial intelligence
en_US
dc.subject
conversational agents
en_US
dc.subject
interactive agents
en_US
dc.subject
cognitive science
en_US
dc.subject
machine learning models
en_US
dc.title
M-Path Language Models
en_US
globus.shared_endpoint.name
f163c1b3-9c88-42f6-a7bb-5839ed6c4063
globus.shared_endpoint.path
/8/published/publication_529/
frdr.preservation.status
AIP generation and transfer successful
frdr.preservation.datetime
2023-11-05
datacite.publicationyear
2022
datacite.resourcetype
Dataset
en_US
datacite.relatedidentifier.IsCitedBy
https://doi.org/10.1007/978-3-030-25719-4_78
datacite.relatedidentifier.IsPartOf
https://github.com/onyalcin/M-PATH
datacite.fundingReference.funderName
Natural Sciences and Engineering Research Council of Canada (NSERC)
en_US
datacite.fundingReference.awardNumber
RGPIN-2019-06767
en_US
datacite.fundingReference.awardTitle
en_US
frdr.crdc.code
RDF1020113
en_US
frdr.crdc.group_en
Computer and information sciences
en_US
frdr.crdc.class_en
Artificial intelligence (AI)
en_US
frdr.crdc.field_en
Cognitive computing
en_US
frdr.crdc.group_fr
Informatique et systèmes d'information
fr_CA
frdr.crdc.class_fr
Intelligence artificielle (IA)
fr_CA
frdr.crdc.field_fr
Informatique cognitive
fr_CA
frdr.crdc.code
RDF1020104
en_US
frdr.crdc.group_en
Computer and information sciences
en_US
frdr.crdc.class_en
Artificial intelligence (AI)
en_US
frdr.crdc.field_en
Machine learning
en_US
frdr.crdc.group_fr
Informatique et systèmes d'information
fr_CA
frdr.crdc.class_fr
Intelligence artificielle (IA)
fr_CA
frdr.crdc.field_fr
Apprentissage machine
fr_CA
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