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  score: 0.27
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- # Dialog2Flow single target (DSE-base)
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  This a variation of the **D2F$_{single}$** model introduced in the paper ["Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction"](https://arxiv.org/abs/2410.18481) published in the EMNLP 2024 main conference.
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  This version uses DSE-base as the backbone model which yields to an increase in performance as compared to the vanilla version using BERT-base as the backbone (results reported in Appendix C).
 
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+ ![image/png](voronoi_umap.png)
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+ # **Dialog2Flow single target model** (DSE-base)
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  This a variation of the **D2F$_{single}$** model introduced in the paper ["Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction"](https://arxiv.org/abs/2410.18481) published in the EMNLP 2024 main conference.
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  This version uses DSE-base as the backbone model which yields to an increase in performance as compared to the vanilla version using BERT-base as the backbone (results reported in Appendix C).