Challenge: Existing studies on the process of building common ground have not been well conducted.
Approach: They propose a method for recording the process of building common ground through a dialogue by using the intermediate result of a task.
Outcome: The proposed method can record the building common ground process by using the intermediate result of a task and can be estimated quite accurately.

Similar Papers

Dialogue Corpus Construction Considering Modality and Social Relationships in Building Common Ground (2022.lrec-1)

Copied to clipboard

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.
Outcome: The results suggest that adding the modality or developing the relationship between workers speeds up the building of common ground.
Maintaining Common Ground in Dynamic Environments (2021.tacl-1)

Copied to clipboard

Challenge: Existing task settings focus on creating and maintaining common ground under static contexts and ignore their dynamic aspects.
Approach: They propose a task setting to study the ability of creating and maintaining common ground in dynamic environments.
Outcome: The proposed task setting enables fine-grained evaluation and analysis of various dialogue systems.
Finding Common Ground: Annotating and Predicting Common Ground in Spoken Conversations (2023.findings-emnlp)

Copied to clipboard

Challenge: Creating and updating common ground (CG) between interlocutors is the key to a successful conversation.
Approach: They propose a new annotation and corpus to capture common ground in human communication . they then conduct experiments to extract propositions from dialog and track their status in common ground from the perspective of each speaker .
Outcome: The proposed corpus captures common ground from the perspective of two speakers in a dialog.
Achieving Common Ground in Multi-modal Dialogue (2020.acl-tutorials)

Copied to clipboard

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.
Outcome: This tutorial examines the results of recent research on grounding in human-human communication . it shows how these results lead to rich and challenging opportunities for doing grounding more flexible and powerful ways .
Common Ground Tracking in Multimodal Dialogue (2024.lrec-main)

Copied to clipboard

Challenge: In dialogue modeling, there is considerable attention on “dialogue state tracking” (DST) but “common ground tracking” identifies the shared belief space held by all participants in a task-oriented dialogue: the task-relevant propositions all participants accept as true.
Approach: They propose a method for automatically identifying the current set of shared beliefs and ”questions under discussion” of a group with a shared goal.
Outcome: The proposed method predicts moves toward building common ground relative to ground truth in a multimodal interaction with an AI.
The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue (P19-1)

Copied to clipboard

Challenge: Using the PhotoBook dataset, we investigate shared dialogue history accumulating during conversation . human interlocutors are known to collaboratively establish a shared repository of mutual information during a conversation - this common ground is then used to optimise understanding and communication efficiency.
Approach: They propose a data-collection task formulated as a collaborative game prompting two online participants to refer to images utilising both their visual context and previously established referring expressions.
Outcome: The proposed model takes into account shared information accumulated in a reference chain and is important to resolve later descriptions.
A Speculative and Tentative Common Ground Handling for Efficient Composition of Uncertain Dialogue (2022.lrec-1)

Copied to clipboard

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 .
Approach: a study investigates how the grounding process is composed by participants . it suggests that common ground may not necessarily be formed bottom-up through analytic expressions .
Outcome: a new approach to human-like dialogue may be more suitable for natural human communication, the authors say . they show that common ground is mutually accepted among participants through holistic expressions .
Frame of Reference: Addressing the Challenges of Common Ground Representation in Situational Dialogs (2026.findings-acl)

Copied to clipboard

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.
Approach: They propose to use relational references to represent common ground in situated dialogues and propose to improve both the establishment of common ground and its subsequent use in the conversation.
Outcome: The proposed models can establish and exploit common ground in situated dialogues and improve its subsequent use.
Grounding Conversations with Improvised Dialogues (2020.acl-main)

Copied to clipboard

Challenge: Effective dialogue involves grounding, the process of establishing mutual knowledge that is essential for communication between people.
Approach: a new study uses a corpus of yes-and-turns to analyze improv dialogues . they find that dialogue is a collaborative process by which partners coordinate via turns or acts to jointly construct a common world state.
Outcome: a new study fine-tunes chit-chat dialogue systems with their corpus to encourage more grounded, relevant conversation.
Collecting and Analyzing Dialogues in a Tagline Co-Writing Task (2024.lrec-main)

Copied to clipboard

Challenge: Currently, most studies on dialogue systems focus on problemsolving dialogues and relatively little research has been done on systems that can engage in creative collaboration with users.
Approach: They designed a tagline co-writing task in which two people collaborate to create taglines via text chat and collected dialogue logs, editing logs and questionnaire results.
Outcome: The proposed task involved a tagline co-writing task in which two people collaborate to create taglines via text chat, and collected dialogue logs, editing logs and questionnaire results.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations