Here is the source code for our NAACL 2022 paper A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict.
Please modify the parameters in train.sh and run sh train.sh.
We evaluate our model on three benchmark datasets, IAC-V1, IAC-V2, Twitter. The split datasets are in /data.
The official websites for datasets:
- IAC-V1: https://nlds.soe.ucsc.edu/sarcasm1
- IAC-V2: https://nlds.soe.ucsc.edu/sarcasm2
- Twitter: https://github.com/Cyvhee/SemEval2018-Task3
| Model | IAC-V1 | IAC-V2 | Tweets | |||
| F1 | Acc. | F1 | Acc. | F1 | Acc. | |
| UCDCC | 58.5 | 58.5 | 67.0 | 67.0 | 72.4 | 79.7 |
| THU-NGN | 64.2 | 64.3 | 73.3 | 73.3 | 70.5 | 73.5 |
| Bi-LSTM | 64.6 | 64.6 | 79.7 | 79.7 | 71.7 | 73.0 |
| At-LSTM | 65.3 | 65.5 | 76.1 | 76.2 | 70.0 | 70.2 |
| CNN-LSTM-DNN | 60.9 | 61.1 | 75.2 | 75.3 | 71.9 | 72.3 |
| MIARN | 64.9 | 65.2 | 75.2 | 75.3 | 68.8 | 70.2 |
| ADGCN | 64.3 | 64.3 | 80.9 | 80.9 | 72.8 | 73.6 |
| DC-Net (Ours) | 66.4 | 66.5 | 82.1 | 82.1 | 76.3 | 76.7 |
@inproceedings{DBLP:conf/naacl/LiuWSMLG22,
author = {Yiyi Liu and
Yequan Wang and
Aixin Sun and
Xuying Meng and
Jing Li and
Jiafeng Guo},
title = {A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment
Conflict},
booktitle = {Findings of the Association for Computational Linguistics: {NAACL}
2022, Seattle, WA, United States, July 10-15, 2022},
pages = {1670--1680},
publisher = {Association for Computational Linguistics},
year = {2022},
url = {https://doi.org/10.18653/v1/2022.findings-naacl.126},
doi = {10.18653/v1/2022.findings-naacl.126},
biburl = {https://dblp.org/rec/conf/naacl/LiuWSMLG22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}