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Survey and Challenges: Event Extraction of Story Narrative in NLP Approach Daniati, Erna; Wibawa, Aji Prasetya; Irianto, Wahyu Sakti Gunawan; Nafalski, Andrew
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 1 (2026): February
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i1.15534

Abstract

Event extraction from story narratives remains a challenging yet underexplored area in natural language processing due to narrative complexity including implicit causality long-range dependencies and temporal ambiguity. This study addresses the research question: How have NLP and deep learning approaches been applied to extract events from story narratives and what gaps persist. Following the PRISMA 2020 guidelines we systematically reviewed 12 peer-reviewed studies published between 2017 and 2024. Our analysis reveals growing adoption of transformer-based models such as BERT alongside emerging architectures like DEEIA and PAIE which leverage prompt-based learning and event-specific contextual aggregation. Commonly used datasets include ROCStories and custom narrative corpora though few are standardized. Key challenges involve handling implicit events limited annotated data cross-domain generalization and integration of commonsense reasoning. The main contribution of this review is the first structured synthesis of event extraction techniques specifically for story narratives using a rigorous systematic methodology. We highlight the need for document-level modeling narrative-aware evaluation metrics and low-resource adaptation strategies. This work provides a foundation for future research aiming to bridge narrative understanding with robust event-centric NLP systems.
DEVELOPMENT OF TECHNOPRENEURSHIP LEARNING TOOLS IN VOCATIONAL HIGH SCHOOLS: A SYSTEMATIC REVIEW OF MODELS, COMPONENTS, AND IMPLICATIONS: Pengembangan Perangkat Pembelajaran Technopreneurship di SMK: Tinjauan Sistematis terhadap Model, Komponen, dan Implikasi Febri Handoyo; Isnandar Isnandar; Wahyu Sakti Gunawan Irianto; Widiyanti Widiyanti; Siti Salina Mustakim
SOSIOEDUKASI Vol 15 No 1 (2026): SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universaitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/sosioedukasi.v15i1.7290

Abstract

This study aims to map the trends in the development of technopreneurship learning tools in Vocational High Schools by analyzing the development models, core components, and pedagogical implications to identify research gaps. Using the Systematic Literature Review (SLR) method with the PRISMA approach and PICo framework, this study selected five relevant articles from Google Scholar, Semantic Scholar, and Dimensions databases for the period 2021-2025. The results of the data analysis show that the ADDIE and Borg & Gall development models are the most dominant because of their systematic structure in ensuring technical and pedagogical quality. The main components of the learning tool focus on three main aspects: digital technology integration, strengthening 21st-century skills (4Cs), and technical mastery of entrepreneurial management. Pedagogically, the implementation of these tools has been proven effective in improving student learning outcomes, motivation, and independence, as well as transforming the role of teachers into facilitators in the digital ecosystem. Despite the positive impact, a research gap was found in that current development is still limited to independent modules and has not touched on the formation of a comprehensive digital entrepreneurship ecosystem to overcome the low level of students' digital-preneurship skills in the field.