Unsupervised Dialogue Topic Segmentation with Topic-aware Contrastive Learning-Reference-Cited by-同舟云学术

Unsupervised Dialogue Topic Segmentation with Topic-aware Contrastive Learning

Published:2023-07-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Gao Haoyu¹^ORCID,Wang Rui²^ORCID,Lin Ting-En²^ORCID,Wu Yuchuan²^ORCID,Yang Min³^ORCID,Huang Fei⁴^ORCID,Li Yongbin²^ORCID

Affiliation:

1. University of Science and Technology of China & Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, HeFei, China

2. Alibaba Group, Beijing, China

3. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, ShenZhen, China

4. Alibaba Group, New York, China

Funder

Shenzhen Science and Technology Innovation Program

National Key Research and Development Program of China

Shenzhen Basic Research Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539618.3592081

Reference41 articles.

1. MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling

2. Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization

3. Yinpei Dai , Wanwei He , Bowen Li , Yuchuan Wu , Zheng Cao , Zhongqi An , Jian Sun , and Yongbin Li. 2022. CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation. arXiv preprint arXiv:2211.11617 ( 2022 ). Yinpei Dai, Wanwei He, Bowen Li, Yuchuan Wu, Zheng Cao, Zhongqi An, Jian Sun, and Yongbin Li. 2022. CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation. arXiv preprint arXiv:2211.11617 (2022).

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