tExplain: Information Extraction with Explanations

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UDC.coleccionInvestigaciónes_ES
UDC.conferenceTitleLPNMR 2024 - Logic Programming and Nonmonotonic Reasoninges_ES
UDC.departamentoCiencias da Computación e Tecnoloxías da Informaciónes_ES
UDC.endPage56es_ES
UDC.grupoInvInformation Retrieval Lab (IRlab)es_ES
UDC.startPage43es_ES
UDC.volumeLecture Notes in Computer Science (LNAI, volume 15245)es_ES
dc.contributor.authorCabalar, Pedro
dc.contributor.authorDorsey, Adrian
dc.contributor.authorFandinno, Jorge
dc.contributor.authorLierler, Yuliya
dc.contributor.authorMuñiz, Brais
dc.contributor.authorSare, Joel
dc.date.accessioned2025-05-22T14:51:00Z
dc.date.embargoEndDate2025-11-01es_ES
dc.date.embargoLift2025-11-01
dc.date.issued2025
dc.descriptionPresented in the following conference: LPNMR 2024: 17th International Conference on Logic Programming and Nonmonotonic Reasoning, Dallas, TX, USA, October 11–14, 2024es_ES
dc.descriptionThis version of the conference paper has been accepted for publication, after peer review; it is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-031-74209-5_4.es_ES
dc.description.abstract[Abstract]: We present a narrative understanding tool that takes as an input a narrative in natural English language that contains both sentences describing actions as well as questions and outputs answers to those questions together with natural language explanations justifying those answers. We evaluate our tool on the several tasks of Facebook’s bAbI challenge where it achieves 100% accuracy.es_ES
dc.identifier.citationCabalar, P., Dorsey, A., Fandinno, J., Lierler, Y., Muñiz, B., Sare, J. (2025). tExplain: Information Extraction with Explanations. In: Dodaro, C., Gupta, G., Martinez, M.V. (eds) Logic Programming and Nonmonotonic Reasoning. LPNMR 2024. Lecture Notes in Computer Science(), vol 15245. Springer, Cham. https://doi.org/10.1007/978-3-031-74209-5_4es_ES
dc.identifier.doi10.1007/978-3-031-74209-5_4
dc.identifier.isbn9783031742088
dc.identifier.issn1611-3349
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/2183/42065
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relation.ispartofseriesLecture Notes in Computer Science (LNCS), including its subseries Lecture Notes in Artificial Intelligence (LNAI) and Lecture Notes in Bioinformatics (LNBI)es_ES
dc.relation.urihttps://doi.org/10.1007/978-3-031-74209-5_4es_ES
dc.rights© 2025 The Author(s), under exclusive license to Springer Nature Switzerland AG. This version is subject to Springer Nature’s AM terms of use - https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms.es_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectEnglish languageses_ES
dc.subjectFacebookes_ES
dc.subjectNatural language explanationses_ES
dc.titletExplain: Information Extraction with Explanationses_ES
dc.typeconference outputes_ES
dc.type.hasVersionAMes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication2ca73277-6667-4009-adaf-0f7462a65880
relation.isAuthorOfPublicationd02be485-e59f-4194-85be-0209a76d26f0
relation.isAuthorOfPublication.latestForDiscovery2ca73277-6667-4009-adaf-0f7462a65880

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