Title :
Time line inference from story sentence with time series
Author :
Hiroki, T. ; Noriyuki, O.
Author_Institution :
Nagano Nat. Colleage of Technol., NNCT, Nagano, Japan
Abstract :
Recently, we can find many literary works on the Web. Automatic summarization is effective method to find favorite work through various works. But, stories have no logical structure like minutes or news papers. So, many exiting researches of automatic summarization are not effective for stories because these target minutes or news papers only. System optimized for stories is necessary. We focused on time series at story, a type of structure of story. We organized the system to infer it. System infers four types of time series by using timeword database. We tested features of four time series. System was checked it worked at story sentences.
Keywords :
Internet; natural language processing; publishing; time series; Web; automatic summarization; news papers; story optimization; story sentence; story structure; time line inference; time series; time-word database; Inference of Information; Story Sentence; Time Series;
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
Conference_Location :
Kobe
Print_ISBN :
978-1-4673-2742-8
DOI :
10.1109/SCIS-ISIS.2012.6505323