Data · dataset · 2026
NATURAL LANGUAGE PROCESSING PARSER TECHNIQUE FOR DOCUMENT CRACKING AND INFORMATION EXTRACTION MODEL
Listed in ZivaHub
<p dir="ltr">Many user environments are not yet familiar with the advancements in natural language processing that come from structuring both formatted semantic information and unstructured knowledge-based information in a multimodal way.
Description
This method aids in creating grammatically correct sentences arranged within the context of the intuition of Chomsky's formal language. In recent years, deep learning (DL) has significantly impacted natural language processing, causing a paradigm shift from "syntax checkers" to programs that check the syntax of natural language.
This shift has opened the door to a large pool of knowledge and information systems available for data extraction without service resilience. The API renders make the research attention-worthy, particularly in information extraction (IE) tasks. In this research, all models should be further investigated to reinforce their vulnerability by testing their ability to conduct theoretical, hypothesis, and pragmatic reviews of the logical structural model.
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This will help improve the model's generalization ability, aiding proficient operational performance.</p>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.33312012.v14 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/33312012 | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:field:460307 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Multimodal analysis and synthesis'] |
| concepts[field].anzsrc:field:460501 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Data engineering and data science'] |
| concepts[field].anzsrc:field:460507 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Information extraction and fusion'] |
| concepts[field].local:field:computer-science-ai | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:engineering | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |