PELD is a text-based emotional dialog dataset with personality traits for speakers.
The dialogues in PELD are merged from the emotional dialogues in MELD and EmoryNLP , as well as the personality trait annotations from FriendsPersona.
The personality traits in PELD are adopted from the personality annotations in 711 different dialogues in FriendsPersona. Refer to the annotations, a role may exhibit different aspects of its personality in different dialogues.
We only keep the personality traits of the six main roles for confidence as their annotations are most frequent. For each of the main roles, we average their annotated personality traits in all the dialogues by
| Roles | Personality Traits (O,C,E,A,N) |
|---|---|
| Chandler | [0.648, 0.375, 0.386, 0.58, 0.477] |
| Joey | [0.574, 0.614, 0.297, 0.545, 0.455] |
| Monica | [0.713, 0.457, 0.457, 0.66, 0.511] |
| Phoebe | [0.6, 0.48, 0.31, 0.46, 0.56] |
| Rachel | [0.635, 0.354, 0.521, 0.552, 0.469] |
| Ross | [0.722, 0.489, 0.6, 0.533, 0.356] |
We construct dialog triple samples as below in our dataset:
We propose two method to generate the response emotion
Automatically Select Emotion for Response via Personality-affected Emotion Transition
Zhiyuan Wen | Jiannong Cao | Ruosong Yang | Shuaiqi Liu | Jiaxing Shen
@inproceedings{wen-etal-2021-automatically,
title = "Automatically Select Emotion for Response via Personality-affected Emotion Transition",
author = "Wen, Zhiyuan and
Cao, Jiannong and
Yang, Ruosong and
Liu, Shuaiqi and
Shen, Jiaxing",
booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.findings-acl.444",
doi = "10.18653/v1/2021.findings-acl.444",
pages = "5010--5020",
}