%0 Conference Paper %1 pizzolli-strapparava-2019-personality %A Pizzolli, Daniele %A Strapparava, Carlo %B Proceedings of the Second Workshop on Storytelling %C Florence, Italy %D 2019 %I Association for Computational Linguistics %K dfg-antrag-steckbriefe %P 107--111 %R 10.18653/v1/W19-3411 %T Personality Traits Recognition in Literary Texts %U https://www.aclweb.org/anthology/W19-3411 %X Interesting stories often are built around interesting characters. Finding and detailing what makes an interesting character is a real challenge, but certainly a significant cue is the character personality traits. Our exploratory work tests the adaptability of the current personality traits theories to literal characters, focusing on the analysis of utterances in theatre scripts. And, at the opposite, we try to find significant traits for interesting characters. The preliminary results demonstrate that our approach is reasonable. Using machine learning for gaining insight into the personality traits of fictional characters can make sense.

@inproceedings{pizzolli-strapparava-2019-personality, abstract = {Interesting stories often are built around interesting characters. Finding and detailing what makes an interesting character is a real challenge, but certainly a significant cue is the character personality traits. Our exploratory work tests the adaptability of the current personality traits theories to literal characters, focusing on the analysis of utterances in theatre scripts. And, at the opposite, we try to find significant traits for interesting characters. The preliminary results demonstrate that our approach is reasonable. Using machine learning for gaining insight into the personality traits of fictional characters can make sense.}, added-at = {2021-01-12T15:03:40.000+0100}, address = {Florence, Italy}, author = {Pizzolli, Daniele and Strapparava, Carlo}, biburl = {https://www.bibsonomy.org/bibtex/2fc754a1c2a591393a2a4c89b3f4c83b6/thagen275}, booktitle = {Proceedings of the Second Workshop on Storytelling}, doi = {10.18653/v1/W19-3411}, interhash = {c587c11d98cbb68423903db34fae1b28}, intrahash = {fc754a1c2a591393a2a4c89b3f4c83b6}, keywords = {dfg-antrag-steckbriefe}, month = aug, pages = {107--111}, publisher = {Association for Computational Linguistics}, timestamp = {2021-01-12T15:03:40.000+0100}, title = {Personality Traits Recognition in Literary Texts}, url = {https://www.aclweb.org/anthology/W19-3411}, year = 2019 }