Cnosso, a novel method for business document automation based on open information extraction

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A4D2RG7XE" target="_blank" >RIV/00216208:11320/25:4D2RG7XE - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181832527&doi=10.1016%2fj.eswa.2023.123038&partnerID=40&md5=f0b5bd2910e77049dccb8fbe476993ac" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181832527&doi=10.1016%2fj.eswa.2023.123038&partnerID=40&md5=f0b5bd2910e77049dccb8fbe476993ac</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.eswa.2023.123038" target="_blank" >10.1016/j.eswa.2023.123038</a>

Result language
angličtina
Original language name
Cnosso, a novel method for business document automation based on open information extraction
Original language description
The state-of-the-art in automated processing of unstructured business documents has evolved from manual labor to advanced AI systems in the span of mere decades. Such systems involve learning techniques, rule or clause sets, neural models – either used alone or in combination – for the extraction to work. As an example, rule-based processes operate on a perceived layout or positioning of the information, whereas model-based frameworks adopt a semantic, and often uninspectable, approach. Verb-Based Semantic Role Labeling (VBSRL) is a novel system presented in a former paper that uses a hybrid foundation to inform the extraction phase via a set of rules modeling natural language. We propose a new VBSRL-based document processing method, aided by valuable and innovative architectural choices, which has been implemented for the Italian language and experimented upon with promising results. Even in its infancy, in fact, the first implementation of this system shows better results than comparable IE solutions, obtaining an aggregate, average F-measure of nearly 79%. © 2023 Elsevier Ltd
Czech name
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Czech description
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Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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