Takatsune Kumada


2020

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Acquiring Social Knowledge about Personality and Driving-related Behavior
Ritsuko Iwai | Daisuke Kawahara | Takatsune Kumada | Sadao Kurohashi
Proceedings of the Twelfth Language Resources and Evaluation Conference

In this paper, we introduce our psychological approach to collect human-specific social knowledge from a text corpus, using NLP techniques. It is often not explicitly described but shared among people, which we call social knowledge. We focus on the social knowledge, especially personality and driving. We used the language resources that were developed based on psychological research methods; a Japanese personality dictionary (317 words) and a driving experience corpus (8,080 sentences) annotated with behavior and subjectivity. Using them, we automatically extracted collocations between personality descriptors and driving-related behavior from a driving behavior and subjectivity corpus (1,803,328 sentences after filtering) and obtained unique 5,334 collocations. To evaluate the collocations as social knowledge, we designed four step-by-step crowdsourcing tasks. They resulted in 266 pieces of social knowledge. They include the knowledge that might be difficult to recall by themselves but easy to agree with. We discuss the acquired social knowledge and the contribution to implementations into systems.

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Development of a Japanese Personality Dictionary based on Psychological Methods
Ritsuko Iwai | Daisuke Kawahara | Takatsune Kumada | Sadao Kurohashi
Proceedings of the Twelfth Language Resources and Evaluation Conference

We propose a new approach to constructing a personality dictionary with psychological evidence. In this study, we collect personality words, using word embeddings, and construct a personality dictionary with weights for Big Five traits. The weights are calculated based on the responses of the large sample (N=1,938, female = 1,004, M=49.8years old:20-78, SD=16.3). All the respondents answered a 20-item personality questionnaire and 537 personality items derived from word embeddings. We present the procedures to examine the qualities of responses with psychological methods and to calculate the weights. These result in a personality dictionary with two sub-dictionaries. We also discuss an application of the acquired resources.

2019

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Applying Machine Translation to Psychology: Automatic Translation of Personality Adjectives
Ritsuko Iwai | Daisuke Kawahara | Takatsune Kumada | Sadao Kurohashi
Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks

2018

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Annotating a Driving Experience Corpus with Behavior and Subjectivity
Ritsuko Iwai | Daisuke Kawahara | Takatsune Kumada | Sadao Kurohashi
Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation