Yi-Ting Chen


2020

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MPDD: A Multi-Party Dialogue Dataset for Analysis of Emotions and Interpersonal Relationships
Yi-Ting Chen | Hen-Hsen Huang | Hsin-Hsi Chen
Proceedings of the Twelfth Language Resources and Evaluation Conference

A dialogue dataset is an indispensable resource for building a dialogue system. Additional information like emotions and interpersonal relationships labeled on conversations enables the system to capture the emotion flow of the participants in the dialogue. However, there is no publicly available Chinese dialogue dataset with emotion and relation labels. In this paper, we collect the conversions from TV series scripts, and annotate emotion and interpersonal relationship labels on each utterance. This dataset contains 25,548 utterances from 4,142 dialogues. We also set up some experiments to observe the effects of the responded utterance on the current utterance, and the correlation between emotion and relation types in emotion and relation classification tasks.

2013

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Constructing Social Intentional Corpora to Predict Click-Through Rate for Search Advertising
Yi-Ting Chen | Hung-Yu Kao
Proceedings of the 25th Conference on Computational Linguistics and Speech Processing (ROCLING 2013)