[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-121857-en":3,"doc-seo-121857-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},121857,4810365810221,"Aurora","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",8,"Research & Report","Evaluation and Alignment of Movie Events Extracted via Machine Learning from a Narratological Perspective - Research paper","The study evaluates how effectively machine learning–extracted events can align with human narratological interpretations of movie main events. It combines distant viewing and close reading by manually annotating events derived from Wikipedia summaries for three films and then aligning them with events automatically extracted from audio descriptions. The findings indicate that computational narratology should integrate event datasets from multimodal sources that capture both visual and verbal cues, improving event detection beyond traditional text-only signals.","University of Groningen  \nEvaluation and Alignment of Movie Events Extracted via Machine Learning from a Narratological Perspective  \nZhou, Feng; Pianzola, Federico  \nPublished in:  \nProceedings of the Computational Humanities Research Conference 2023  \nIMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.  \nDocument Version  \nPublisher's PDF, also known as Version of record  \nPublication date: 2023  \nLink to publication in University of Groningen/UMCG research database  \nCitation for published version (APA):  \nZhou, F. , & Pianzola, F. (2023) . Evaluation and Alignment of Movie Events Extracted via Machine Learning from a Narratological Perspective. In A. Šeļa, F. Jannidis, & I. Romanowska (Eds.), Proceedings of the Computational Humanities Research Conference 2023 (pp. 49-62) . (CEUR Workshop Proceedings; Vol. 3558) . CEUR Workshop Proceedings ([CEUR-WS.org](CEUR-WS.org)) .  \nCopyright  \nOther than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons) .  \nThe publication may also be distributed here under the terms of Article 25fa of the Dutch Copyright Act, indicated by the “Taverne” license. More information can be found on the University of Groningen website: [https://www.rug.nl/library/open-access/self-archiving-pure/taverne](https://www.rug.nl/library/open-access/self-archiving-pure/taverne)amendment.  \nTake-down policy  \nIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.  \nDownloaded from the University of Groningen/U MCG research database (Pure): [http://www.rug. nl/research/portal. For technical reasons the](http://www.rug. nl/research/portal. For technical reasons the)[ ](http://www.rug. nl/research/portal. For technical reasons the)[number of authors shown on this cover page is limited to 10 maximum.](number of authors shown on this cover page is limited to 10 maximum.)  \nEvaluation and Alignment of Movie Events Extracted via Machine Learning from a Narratological Perspective  \nFeng Zhou, Federico Pianzola∗  \nCenter for Language and Cognition, University of Groningen, Oude Kijk in ’t Jatstraat 26, 9712 EK Groningen, The Netherlands  \nAbstract  \nWe combine distant viewing and close reading to evaluate the usefulness of events extracted via machine learning from audio description of movies. To do this, we manually annotate events from Wikipedia summaries for three movies and align them to ML-extracted events. Our exploration suggests that computational narratology should combine datasets with events extracted from multimodal data sources that take into account both visual and verbal cues when detecting events.  \nKeywords  \nmovie events, narrative events, computational narratology, audio description, movie summaries  \n1. Introduction  \nThe events that compose a story are crucial for researchers conducting content analysis of movies [16] . As arti昀椀cial intelligence aims to achieve the ability to automatically understand narratives as a long-term goal [4], researchers continuously develop and improve machine learning (ML) methods for more accurate event extraction from audiovisual narratives. However, the unstructured nature of video data and advanced semantic content of movies pose challenges for computers in understanding and processing videos [17, 30] . The e昀昀ectiveness of ML in event extraction from audiovisual material still lags behind human manual extraction [16] . Moreover, narrative understanding is a border and more complex process that involves hermeneutic processes that go beyond the identi昀椀cation of events [21] . In this light, our goal is to evaluate the alignment between human interpretation of the ma","cbCaivIFoC58m08f","https://ap.wps.com/l/cbCaivIFoC58m08f","pdf",1201385,1,15,"English","en",105,"# Introduction\n## Related Research","[{\"question\":\"How does the paper evaluate the usefulness of machine learning–extracted movie events?\",\"answer\":\"It uses a combined distant-viewing and close-reading workflow: manually annotating events from Wikipedia summaries and aligning them to events extracted automatically from audio descriptions.\"},{\"question\":\"What types of event coverage does the study focus on during alignment?\",\"answer\":\"The alignment analysis targets coverage of movie content, event duration, length, and event type.\"},{\"question\":\"What recommendation does the exploration make for computational narratology?\",\"answer\":\"Computational narratology should combine datasets with events extracted from multimodal sources that consider both visual and verbal cues when detecting events.\"}]","Evaluation and Alignment of Movie Events Extracted via Machine Learning from a Narratological Perspective - Research paper | PDF",1785807278,38,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"evaluation-and-alignment-of-movie-events-extracted-via-machine-learning-from-a-narratological-perspective-research-paper","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/evaluation-and-alignment-of-movie-events-extracted-via-machine-learning-from-a-narratological-perspective-research-paper/121857/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-04",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"How does the paper evaluate the usefulness of machine learning–extracted movie events?","Question",{"text":75,"@type":76},"It uses a combined distant-viewing and close-reading workflow: manually annotating events from Wikipedia summaries and aligning them to events extracted automatically from audio descriptions.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What types of event coverage does the study focus on during alignment?",{"text":80,"@type":76},"The alignment analysis targets coverage of movie content, event duration, length, and event type.",{"name":82,"@type":73,"acceptedAnswer":83},"What recommendation does the exploration make for computational narratology?",{"text":84,"@type":76},"Computational narratology should combine datasets with events extracted from multimodal sources that consider both visual and verbal cues when detecting events.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]