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@inproceedings{1552616,
author = {Víta, Martin and Klímek, Jakub},
address = {Varna},
booktitle = {Proceedings of Recent Advances in Natural Language Processing},
doi = {http://dx.doi.org/10.26615/978-954-452-056-4_144},
editor = {Galia Angelova, Ruslan Mitkov, Ivelina Nikolova, Irina Temnikova},
keywords = {NLI; textual entailment; multiple premises entailment; open information extraction},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Varna},
isbn = {978-954-452-055-7},
pages = {1257-1264},
publisher = {2019},
title = {Exploiting Open IE for Deriving Multiple Premises Entailment Corpus},
url = {http://lml.bas.bg/ranlp2019/proceedings-ranlp-2019.pdf},
year = {2019}
}
TY - JOUR
ID - 1552616
AU - Víta, Martin - Klímek, Jakub
PY - 2019
TI - Exploiting Open IE for Deriving Multiple Premises Entailment Corpus
PB - 2019
CY - Varna
SN - 9789544520557
KW - NLI
KW - textual entailment
KW - multiple premises entailment
KW - open information extraction
UR - http://lml.bas.bg/ranlp2019/proceedings-ranlp-2019.pdf
L2 - http://lml.bas.bg/ranlp2019/proceedings-ranlp-2019.pdf
N2 - Natural language inference (NLI) is a key part of natural language understanding. The NLI task is defined as a decision problem whether a given sentence -- hypothesis -- can be inferred from a given text. Typically, we deal with a text consisting of just a single premise/single sentence, which is called a single premise entailment (SPE) task. Recently, a derived task of NLI from multiple premises (MPE) was introduced together with the first annotated corpus and corresponding several strong baselines. Nevertheless, the further development in MPE field requires accessibility of huge amounts of annotated data. In this paper we introduce a novel method for rapid deriving of MPE corpora from an existing NLI (SPE) annotated data that does not require any additional annotation work. This proposed approach is based on using an open information extraction system. We demonstrate the application of the method on a well known SNLI corpus. Over the obtained corpus, we provide the first evaluations as well as we state a strong baseline.
ER -
VÍTA, Martin a Jakub KLÍMEK. Exploiting Open IE for Deriving Multiple Premises Entailment Corpus. Online. In Galia Angelova, Ruslan Mitkov, Ivelina Nikolova, Irina Temnikova. \textit{Proceedings of Recent Advances in Natural Language Processing}. Varna: 2019, 2019, s.~1257-1264. ISBN~978-954-452-055-7. Dostupné z: https://dx.doi.org/10.26615/978-954-452-056-4\_{}144.
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