activity
20202022
most citedMultiWOZ 2.3: A multi-domain task-oriented dialogue dataset enhanced with annotation corrections and co-reference annotation

19 citations · 37 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2022

Positively transitioned sentiment dialogue corpus for developing emotion-affective open-domain chatbots

Weixuan Wang, Wei Peng, Chong Hsuan Huang +1

In this paper, we describe a data enhancement method for developing Emily, an emotion-affective open-domain chatbot. The proposed method is based on explicitly modeling positively…

cs.CL2021★ 4 cited

Emily: Developing An Emotion-affective Open-Domain Chatbot with Knowledge Graph-based Persona

Weixuan Wang, Xiaoling Cai, Chong Hsuan Huang +4

In this paper, we describe approaches for developing Emily, an emotion-affective open-domain chatbot. Emily can perceive a user's negative emotion state and offer supports by posit…

cs.CL2021

Coreference Augmentation for Multi-Domain Task-Oriented Dialogue State Tracking

Ting Han, Chongxuan Huang, Wei Peng

Dialogue State Tracking (DST), which is the process of inferring user goals by estimating belief states given the dialogue history, plays a critical role in task-oriented dialogue…

cs.CL2020★ 19 cited

MultiWOZ 2.3: A multi-domain task-oriented dialogue dataset enhanced with annotation corrections and co-reference annotation

Ting Han, Ximing Liu, Ryuichi Takanobu +5

Task-oriented dialogue systems have made unprecedented progress with multiple state-of-the-art (SOTA) models underpinned by a number of publicly available MultiWOZ datasets. Dialog…

cs.CL2020★ 14 cited

Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation

Wei Peng, Chongxuan Huang, Tianhao Li +2

Existing data augmentation approaches for neural machine translation (NMT) have predominantly relied on back-translating in-domain (IND) monolingual corpora. These methods suffer f…