Computational Understanding of Narratives: A Survey
Computational Understanding of Narratives: A Survey
复制标题
DOI：
10.1109/access.2022.3205314
复制
发表时间：
2022
期刊：
影响因子：
3.9
通讯作者：
P. Ranade;S. Dey;A. Joshi;Timothy W. Finin
中科院分区：
文献类型：
--
作者：
P. Ranade;S. Dey;A. Joshi;Timothy W. Finin
讲故事和社会叙事的传递使人类能够相互沟通、联系和理解，并理解周围的世界。叙事可以被定义为对相互关联的事件和行为者的口头、视觉或书面描述，通常通过某种时间概念演变。如今，信息通常通过在线通信媒介传达，例如社交媒体和博客网站。因此，叙事传递行为本身已经从简单地通过书籍等自足的结构传递信息转变为更分散的结构，如社交媒体网站，其中不断发展的故事事件是在多个在线来源上构建的。无处不在的在线对话可以表现为复杂的叙述，有可能影响广泛的用户对文化情感，态度，价值观以及地缘政治事件和事实的解释。因此，叙事被积极地用作塑造当地事件、促进集体意见、主张意识形态和宣传的战略工具，使其成为跨多个社区和潜在对手确定主题、意图和目标的兴趣来源。如果没有大规模的自动化，识别碎片化的叙述，提取构成不断发展的叙述的主题和时间成分，以及定位积极的修辞框架策略的迹象，很难检测和分析。这个问题可以通过使用自然语言理解技术来解决。我们的目标是记录和讨论有效构建，提取和检测不断发展的在线叙事的方法。本文的新贡献是这些技术和研究领域的正式整理和文档，以及在定义，识别，构建，生成和表示在线叙事的开放研究挑战和目标的广泛讨论。据我们所知，目前还没有现有的正式文件，组织和提供有关叙事理解研究领域和开放挑战的扩展讨论。
Storytelling, and the delivery of societal narratives, enable human beings to communicate, connect, and understand one another and the world around them. Narratives can be defined as spoken, visual, or written accounts of interconnected events and actors, generally evolving through some notion of time. Today, information is typically conveyed over online communication mediums, such as social media and blogging websites. Consequently, the act of narrative delivery itself has shifted from simply imparting information through self-contained structures such as books, to more fragmented structures, such as social media websites, where evolving story events are constructed over multiple online sources. Ubiquitous online conversation can manifest into sophisticated narratives that have the potential to influence wide-spread user interpretations of cultural sentiments, attitudes, values, as well as geopolitical events and facts. As a result, narratives are actively being used as strategic tools for shaping local events, promoting collective opinions, and asserting ideologies and propaganda, making them sources of interest for identifying themes, intentions, and goals across multiple communities and potential adversaries. Identifying fragmented narratives, extracting thematic and temporal components that constitute evolving narratives, and locating signs of active rhetoric framing tactics, are difficult to detect and analyze without large-scale automation. This problem can be addressed through the use of natural language understanding technologies. Our goal is to document and discuss methods to efficiently construct, extract, and detect evolving online narratives. The novel contribution of this paper is the formal collation and documentation of such technologies and research areas, as well as extensive discussion on open research challenges and goals in the definition, identification, construction, generation, and representation of online narratives. To our knowledge, there is currently no existing formal documentation that organizes and provides extended discussion on narrative understanding research areas and open challenges.