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cs.CL2021
DCH-2: A Parallel Customer-Helpdesk Dialogue Corpus with Distributions of Annotators' Labels
Zhaohao Zeng, Tetsuya Sakai
We introduce a data set called DCH-2, which contains 4,390 real customer-helpdesk dialogues in Chinese and their English translations. DCH-2 also contains dialogue-level annotation…
cs.CL2019
RSL19BD at DBDC4: Ensemble of Decision Tree-based and LSTM-based Models
Chih-Hao Wang, Sosuke Kato, Tetsuya Sakai
RSL19BD (Waseda University Sakai Laboratory) participated in the Fourth Dialogue Breakdown Detection Challenge (DBDC4) and submitted five runs to both English and Japanese subtasks…