Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Methods for Identifying and Resolving Contradictions in Document Texts. / Palchunov, Dmitry E.; Chernyavtseva, Svetlana I.
2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024. Institute of Electrical and Electronics Engineers Inc., 2024. стр. 327-332 (2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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TY - GEN
T1 - Methods for Identifying and Resolving Contradictions in Document Texts
AU - Palchunov, Dmitry E.
AU - Chernyavtseva, Svetlana I.
N1 - The study was carried out within the framework of the state contract of the Sobolev Institute of Mathematics (project no. FWNF-2022-0011).
PY - 2024/11/26
Y1 - 2024/11/26
N2 - The article is devoted to models theoretical approaches for detecting and processing contradictions in document texts. Contradictions arising in documents are divided into three types: logical, ontological and substantive. Logical contradictions arise when documents contain statements about regulations that are contradicted by descriptions of specific domain keys. Ontological contradictions arise when the information presented in a document or set of documents is in conflict with the ontology of a given subject area. The developed approach uses ontological homomorphisms and submodels of partial models. When identifying substantive contradictions, it is necessary to extract formal descriptions of situations from documents. The use of the mechanism of partial models is necessary for the formalization of situations, while the formalization of relations between situations is based on the use of ontological homomorphisms of partial models. The proposed methods are based on the construction of chains of the above-mentioned homomorphisms. When processing substantive contradictions, it is necessary to model dynamics using special constants-situations.
AB - The article is devoted to models theoretical approaches for detecting and processing contradictions in document texts. Contradictions arising in documents are divided into three types: logical, ontological and substantive. Logical contradictions arise when documents contain statements about regulations that are contradicted by descriptions of specific domain keys. Ontological contradictions arise when the information presented in a document or set of documents is in conflict with the ontology of a given subject area. The developed approach uses ontological homomorphisms and submodels of partial models. When identifying substantive contradictions, it is necessary to extract formal descriptions of situations from documents. The use of the mechanism of partial models is necessary for the formalization of situations, while the formalization of relations between situations is based on the use of ontological homomorphisms of partial models. The proposed methods are based on the construction of chains of the above-mentioned homomorphisms. When processing substantive contradictions, it is necessary to model dynamics using special constants-situations.
KW - Natural language processing
KW - atomic diagram
KW - contradiction detection
KW - document automation
KW - domain ontology
KW - four-level knowledge representation model
KW - neural and logical-semantic methods
KW - ontological homomorphism
KW - partial model
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85212058640&origin=inward&txGid=726debfe77ee0e5ec333bf95bde1843d
UR - https://www.mendeley.com/catalogue/5d717f2b-13be-3fca-ac9f-af47943d32f7/
U2 - 10.1109/SIBIRCON63777.2024.10758488
DO - 10.1109/SIBIRCON63777.2024.10758488
M3 - Conference contribution
SN - 9798331532024
T3 - 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024
SP - 327
EP - 332
BT - 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences
Y2 - 30 September 2024 through 2 November 2024
ER -
ID: 61788142