Abstract
Dialogue disentanglement aims to group utterances in a long and multi-participant dialogue into threads. This is useful for discourse analysis and downstream applications such as dialogue response selection, where it can be the first step to construct a clean context/response set. Unfortunately, labeling all reply-to links takes quadratic effort w.r.t the number of utterances: an annotator must check all preceding utterances to identify the one to which the current utterance is a reply. In this paper, we are the first to propose a zero-shot dialogue disentanglement solution. Firstly, we train a model on a multi-participant response selection dataset harvested from the web which is not annotated; we then apply the trained model to perform zero-shot dialogue disentanglement. Without any labeled data, our model can achieve a cluster F1 score of 25. We also fine-tune the model using various amounts of labeled data. Experiments show that with only 10% of the data, we achieve nearly the same performance of using the full dataset.- Anthology ID:
- 2021.emnlp-main.400
- Volume:
- Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Month:
- November
- Year:
- 2021
- Address:
- Online and Punta Cana, Dominican Republic
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 4897–4902
- Language:
- URL:
- https://aclanthology.org/2021.emnlp-main.400
- DOI:
- 10.18653/v1/2021.emnlp-main.400
- Cite (ACL):
- Ta-Chung Chi and Alexander Rudnicky. 2021. Zero-Shot Dialogue Disentanglement by Self-Supervised Entangled Response Selection. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 4897–4902, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
- Cite (Informal):
- Zero-Shot Dialogue Disentanglement by Self-Supervised Entangled Response Selection (Chi & Rudnicky, EMNLP 2021)
- PDF:
- https://preview.aclanthology.org/nodalida-main-page/2021.emnlp-main.400.pdf
- Code
- chijames/zero_shot_dialogue_disentanglement