S2Dialog: Multimodal Dialogue Retrieval with Semantic and Acoustic-Style Modeling
Multimodal dialogue retrieval aims to retrieve dialogues from multimodal dialogue banks that are similar to a target dialogue in terms of both textual semantics and acoustic conversational styles. Such dialogue-level retrieval is crucial for many dialogue-related tasks, including Emotion Recognition in Conversation, Spoken Dialogue Systems, and Conversational Speech Synthesis, where external dialogue examples can provide valuable semantic and stylistic references. However, existing retrieval methods are still largely limited to utterance-level or unimodal matching, and often fail to capture th
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow →
“Shared author/contributor keys: wang”
- FuzzyOverlapping authors or contributors · 62%ray-project/ray →
“Shared author/contributor keys: wang”
- FuzzySimilar title/name (fuzzy) · 59%microsoft/semantic-kernel →
“Fuzzy title match (0.73): “S2Dialog: Multimodal Dialogue Retrieval with Semantic and Ac” ≈ “microsoft/semantic-kernel””
- LinkedLinked via arxiv author · 85%Xueqi Wang →
“S2Dialog: Multimodal Dialogue Retrieval with Semantic and Acoustic-Style Modeling”
- LinkedLinked via arxiv author · 85%Zhigang Wang →
“S2Dialog: Multimodal Dialogue Retrieval with Semantic and Acoustic-Style Modeling”
- LinkedLinked via arxiv author · 85%Runqing Zhang →
“S2Dialog: Multimodal Dialogue Retrieval with Semantic and Acoustic-Style Modeling”
- LinkedLinked via arxiv author · 85%Zhenqi Jia →
“S2Dialog: Multimodal Dialogue Retrieval with Semantic and Acoustic-Style Modeling”
- LinkedLinked via arxiv author · 85%Junfeng Zhao →
“S2Dialog: Multimodal Dialogue Retrieval with Semantic and Acoustic-Style Modeling”