@article{oai:uec.repo.nii.ac.jp:00009159,
 author = {OHWATARI, Yuta and KAWAMURA, Takahiro and SEI, Yuichi and TAHARA, Yasuyuki and OHSUGA, Akihiko},
 issue = {1},
 journal = {IEICE Transactions on Information and Systems},
 month = {Jan},
 note = {In many movies, social conditions and awareness of the issues of the times are depicted in any form. Even if fantasy and science fiction are works far from reality, the character relationship does mirror the real world. Therefore, we try to understand social conditions of the real world by analyzing the movie. As a way to analyze the movies, we propose a method of estimating interpersonal relationships of the characters, using a machine learning technique called Markov Logic Network (MLN) from movie script databases on the Web. The MLN is a probabilistic logic network that can describe the relationships between characters, which are not necessarily satisfied on every line. In experiments, we confirmed that our proposed method can estimate favors between the characters in a movie with F-measure of 58.7%. Finally, by comparing the relationships with social indicators, we discussed the relevance of the movies to the real world.},
 pages = {128--137},
 title = {Estimation of Interpersonal Relationships in Movies},
 volume = {E99.D},
 year = {2016}
}