通过分析西方视觉传播研究领域两份主要学术期刊Visual Communication与Visual Communication Quarterly2008—2017年发表的学术论文,梳理西方视觉传播的历史脉络与研究现状,总结出四大焦点问题:视觉新闻影像(真实与象征)、视觉设计符号...通过分析西方视觉传播研究领域两份主要学术期刊Visual Communication与Visual Communication Quarterly2008—2017年发表的学术论文,梳理西方视觉传播的历史脉络与研究现状,总结出四大焦点问题:视觉新闻影像(真实与象征)、视觉设计符号(观念与态度)、视觉修辞话语(建构与表征)、视觉传播理性(伦理与道德);反思视觉传播发展历程,还存在着研究场域相对狭窄、研究视角有限、研究方法受到局限等问题;展望视觉传播研究趋势,研究框架将从单一题域向全域生态系统拓展,研究领域将从学科局限向多元跨界演进,研究场景将从传统业态向沉浸式多模态交互革新。展开更多
Early studies on discourse rhetorical structure parsing mainly adopt bottom-up approaches,limiting the parsing process to local information.Although current top-down parsers can better capture global information and h...Early studies on discourse rhetorical structure parsing mainly adopt bottom-up approaches,limiting the parsing process to local information.Although current top-down parsers can better capture global information and have achieved particular success,the importance of local and global information at various levels of discourse parsing is differ-ent.This paper argues that combining local and global information for discourse parsing is more sensible.To prove this,we introduce a top-down discourse parser with bidirectional representation learning capabilities.Existing corpora on Rhetorical Structure Theory(RST)are known to be much limited in size,which makes discourse parsing very challenging.To alleviate this problem,we leverage some boundary features and a data augmentation strategy to tap the potential of our parser.We use two methods for evaluation,and the experiments on the RST-DT corpus show that our parser can pri-marily improve the performance due to the effective combination of local and global information.The boundary features and the data augmentation strategy also play a role.Based on gold standard elementary discourse units(EDUs),our pars-er significantly advances the baseline systems in nuclearity detection,with the results on the other three indicators(span,relation,and full)being competitive.Based on automatically segmented EDUs,our parser still outperforms previous state-of-the-artwork.展开更多
文摘通过分析西方视觉传播研究领域两份主要学术期刊Visual Communication与Visual Communication Quarterly2008—2017年发表的学术论文,梳理西方视觉传播的历史脉络与研究现状,总结出四大焦点问题:视觉新闻影像(真实与象征)、视觉设计符号(观念与态度)、视觉修辞话语(建构与表征)、视觉传播理性(伦理与道德);反思视觉传播发展历程,还存在着研究场域相对狭窄、研究视角有限、研究方法受到局限等问题;展望视觉传播研究趋势,研究框架将从单一题域向全域生态系统拓展,研究领域将从学科局限向多元跨界演进,研究场景将从传统业态向沉浸式多模态交互革新。
基金supported by the National Natural Science Foundation of China under Grant No.62276178。
文摘Early studies on discourse rhetorical structure parsing mainly adopt bottom-up approaches,limiting the parsing process to local information.Although current top-down parsers can better capture global information and have achieved particular success,the importance of local and global information at various levels of discourse parsing is differ-ent.This paper argues that combining local and global information for discourse parsing is more sensible.To prove this,we introduce a top-down discourse parser with bidirectional representation learning capabilities.Existing corpora on Rhetorical Structure Theory(RST)are known to be much limited in size,which makes discourse parsing very challenging.To alleviate this problem,we leverage some boundary features and a data augmentation strategy to tap the potential of our parser.We use two methods for evaluation,and the experiments on the RST-DT corpus show that our parser can pri-marily improve the performance due to the effective combination of local and global information.The boundary features and the data augmentation strategy also play a role.Based on gold standard elementary discourse units(EDUs),our pars-er significantly advances the baseline systems in nuclearity detection,with the results on the other three indicators(span,relation,and full)being competitive.Based on automatically segmented EDUs,our parser still outperforms previous state-of-the-artwork.
