A Survey on Event-based News Narrative Extraction
نویسندگان
چکیده
Narratives are fundamental to our understanding of the world, providing us with a natural structure for knowledge representation over time. Computational narrative extraction is subfield artificial intelligence that makes heavy use information retrieval and language processing techniques. Despite importance computational extraction, relatively little scholarly work exists on synthesizing previous research strategizing future in area. In particular, this article focuses extracting news narratives from an event-centric perspective. Extracting data has multiple applications evolving landscape. This survey presents extensive study area event-based extraction. we screened 900 articles yielded 54 relevant articles. These synthesized organized by model, criteria, evaluation approaches. Based reviewed studies, identify recent trends, open challenges, potential lines.
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ژورنال
عنوان ژورنال: ACM Computing Surveys
سال: 2023
ISSN: ['0360-0300', '1557-7341']
DOI: https://doi.org/10.1145/3584741