| Challenge: | Existing interruption and turn switch classification methods are not yet available. |
| Approach: | They propose a new interruption annotation schema that integrates existing interruption and turn switch classification methods to annotate different types of interruptions. |
| Outcome: | The proposed method can distinguish smooth turn exchange, backchannel and interruption (including interruption types) and to annotate dyadic conversation. |
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| Challenge: | Few speech resources describe interruption phenomena, especially for TV and media content. |
| Approach: | They propose to annotation Transition-Relevance Places (TRPs) and Floor-Taking event types on an existing French TV and Radio broadcast corpus to facilitate studies of interruptions and turn-taking. |
| Outcome: | The proposed annotations on an existing French TV and Radio broadcast corpus show they are reliable and reliable . |
Towards a Conversation-Analytic Taxonomy of Speech Overlap (L18-1)
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| Challenge: | a taxonomy for classifying speech overlap in natural language dialogue is presented . the scheme classifies overlap on the basis of several features, including onset point, local dialogue history, and management behavior. |
| Approach: | They propose a taxonomy for classifying speech overlap in natural language dialogue . they describe the various dimensions of the scheme and show how it was applied to a corpus of collaborative dialogue based on onset point, dialogue history, and management behavior . |
| Outcome: | The proposed taxonomy classifies overlap on the basis of onset point, dialogue history, management behavior. |
Automatic Speech Interruption Detection: Analysis, Corpus, and System (2024.lrec-main)
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| Challenge: | Interruption detection is a new but challenging task in the field of speech processing. |
| Approach: | They propose to define automatic speech interruption detection and build a specialized corpus to analyze interrupted conversations. |
| Outcome: | The proposed system can detect interruptions in speech with promising results . it can be used to ensure speaking turns are respected during official political debates . |
A Conversation-Analytic Annotation of Turn-Taking Behavior in Japanese Multi-Party Conversation and its Preliminary Analysis (2020.lrec-1)
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| Challenge: | a new conversation-analytic annotation scheme is proposed for multi-party conversations . current systems do not take a turn like a human even in simple two-party conversation . |
| Approach: | They propose a conversation-analytic annotation scheme for turn-taking behavior in multi-party conversations . they analyze how syntactic and prosodic features of utterances vary across four selection types . |
| Outcome: | The proposed model is based on Japanese multi-party conversations. |
MultiTurnCleanup: A Benchmark for Multi-Turn Spoken Conversational Transcript Cleanup (2023.emnlp-main)
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| Challenge: | Disfluency detection models focus on individual utterances, but discontinuities in spoken transcripts occur across multiple turns. |
| Approach: | They propose a multi-turn "cleanup task" to detect discontinuities in spoken conversations . they leverage two modeling approaches for experimental evaluation as benchmarks . |
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Entity Exchange in the Wild: A Diagnostic Study of LLM Based Real-World Conversational Entity Extraction (2026.acl-industry)
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| Challenge: | Prior work has examined the impact of transcription noise and cross-turn reasoning, but it has not systematically analyzed how entity-exchange phenomena themselves shape extraction performance. |
| Approach: | They evaluate 16 large language models on 6,387 real-world customer–agent conversations spanning 12 entity types across numeric, alphanumeric, temporal, and free-text categories. |
| Outcome: | The proposed model improves on the extracted entities across all three axes yielding average gains of up to 6.4% across models. |
End-to-End Neural Discourse Deixis Resolution in Dialogue (2022.emnlp-main)
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| Challenge: | Lexical overlap is a strong indicator of entity coreference, both among names and in the resolution of nominals. |
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Overlaps and Gender Analysis in the Context of Broadcast Media (2022.lrec-1)
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| Challenge: | Using gender and overlap annotations, we characterise interactions between speakers according to their gender and role in broadcast media. |
| Approach: | They propose to characterise interactions between speakers according to their gender and role in broadcast media by using a small dataset of 93 recordings from LCP French channel. |
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InteractSpeech: A Speech Dialogue Interaction Corpus for Spoken Dialogue Model (2025.findings-emnlp)
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| Challenge: | Spoken Dialogue models face challenges in handling nuanced interactional phenomena, such as interruptions and backchannels. |
| Approach: | They propose to use a 150-hour English speech interaction dialogue dataset to empower spoken dialogue models with nuanced real-time interaction capabilities. |
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Dialogue Structure Annotation for Multi-Floor Interaction (L18-1)
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David Traum, Cassidy Henry, Stephanie Lukin, Ron Artstein, Felix Gervits, Kimberly Pollard, Claire Bonial, Su Lei, Clare Voss, Matthew Marge, Cory Hayes, Susan Hill
| Challenge: | Existing annotation schemes do not address dialogue structure. |
| Approach: | They propose an annotation scheme for meso-level dialogue structure that clusters utterances from multiple participants and floors into units according to realization of an initiator's intent. |
| Outcome: | The proposed annotation scheme is used to annotate a corpus of human-robot interaction dialogues. |