PACO: a Corpus to Analyze the Impact of Common Ground in Spontaneous Face-to-Face Interaction (2020.lrec-1)
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| Challenge: | PAC0 is a conversational corpus of 15 face-to-face interactions lasting around 20 min each. |
| Approach: | They have created a conversational corpus of 15 face-to-face dyadic interactions lasting around 20 min each. |
| Outcome: | The compared corpus consists of 15 face-to-face dyadic interactions lasting around 20 min each. |
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Emer Gilmartin, Christian Saam, Brendan Spillane, Maria O’Reilly, Ketong Su, Arturo Calvo, Loredana Cerrato, Killian Levacher, Nick Campbell, Vincent Wade
| Challenge: | Recent studies have focused on task-based or instrumental dialogs, but there is increasing interest in social or interactional dialogs. |
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Finding Common Ground: Annotating and Predicting Common Ground in Spoken Conversations (2023.findings-emnlp)
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| Challenge: | Creating and updating common ground (CG) between interlocutors is the key to a successful conversation. |
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Frame of Reference: Addressing the Challenges of Common Ground Representation in Situational Dialogs (2026.findings-acl)
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| Challenge: | Prior studies have demonstrated that Large Language Models (LLMs) are capable of performing grounding acts such as requesting clarification or producing acknowledgments, yet relatively little work has investigated how common ground can be explicitly represented and stored for later use. |
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A Speculative and Tentative Common Ground Handling for Efficient Composition of Uncertain Dialogue (2022.lrec-1)
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| Challenge: | a study explores how the grounding process is composed and adapts to human cognitive processes . common ground is a set of information shared among participants that serves as a precondition for understanding individual utterances . |
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The Spot the Difference corpus: a multi-modal corpus of spontaneous task oriented spoken interactions (L18-1)
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| Challenge: | a new corpus of task-oriented spontaneous dialogues is available for free . we study the structure of non task-orientated dialogues and how they evolve over time . |
| Approach: | They describe a corpus of 54 interactions between pairs of subjects interacting to find differences in two very similar scenes. |
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Did You Get It? A Zero-Shot Approach to Locate Information Transfers in Conversations (2024.lrec-main)
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| Challenge: | Existing models do not provide an efficient way to locate information that enters the common ground. |
| Approach: | They propose a method based on segmentation of a conversation into themes followed by their summarization and obtain the location of information transfers by computing the distance between the theme summary and the different utterances produced by a speaker. |
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Chats and Chunks: Annotation and Analysis of Multiparty Long Casual Conversations (L18-1)
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| Challenge: | dyadic conversations are attracting more interest with attempts to build more friendly and natural spoken dialog systems. |
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Conversational Grounding: Annotation and Analysis of Grounding Acts and Grounding Units (2024.lrec-main)
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| Challenge: | Successful conversations often rest on common understanding, says a researcher . despite recent advances in dialog systems, there is a noticeable deficit in their grounding capabilities . |
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Dialogue Corpus Construction Considering Modality and Social Relationships in Building Common Ground (2022.lrec-1)
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| Challenge: | Several studies have examined the process of building common ground in text chat, but none have investigated the process in depth. |
| Approach: | They constructed a dialogue corpus to investigate the process of building common ground with a particular focus on the modality of dialogue and the social relationship between workers. |
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Achieving Common Ground in Multi-modal Dialogue (2020.acl-tutorials)
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| Challenge: | tutorial focuses on three main topic areas: grounding in human-human communication, dialogue systems and multi-modal interactive systems. |
| Approach: | This tutorial examines the use of computational dialogue research to design grounding modules and behaviors in cutting-edge systems. |
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