Estimating Relationships Between Participants in Multi-Party Chat Corpus

ACL ARR 2025 July Submission1320 Authors

Abstract:

While most existing dialogue studies focus on dyadic (one-on-one) interactions, research on multi-party dialogues has gained increasing importance.
One key challenge in multi-party dialogues is identifying and interpreting the relationships between participants.
This study focuses on multi-party chat corpus and aims to estimate participant pairs with specific relationships, such as family and friends.
The proposed model extracts features from the input text, including the number of turns and the frequency of honorific expressions, and trains a logistic regression model to predict relationships.
Experiments demonstrated that the proposed model significantly outperforms LLM in relationship estimation tasks.

Paper Type: Long

Research Area: Dialogue and Interactive Systems

Research Area Keywords: Dialogue and Interactive Systems

Languages Studied: Japanese

Reassignment Request Area Chair: This is not a resubmission

Reassignment Request Reviewers: This is not a resubmission

A1 Limitations Section: This paper has a limitations section.

A2 Potential Risks: No

B Use Or Create Scientific Artifacts: Yes

B1 Cite Creators Of Artifacts: Yes

B1 Elaboration: 2.1

B2 Discuss The License For Artifacts: No

B2 Elaboration: Because it was open source.

B3 Artifact Use Consistent With Intended Use: N/A

B4 Data Contains Personally Identifying Info Or Offensive Content: N/A

B5 Documentation Of Artifacts: N/A

B6 Statistics For Data: Yes

B6 Elaboration: 2.1

C Computational Experiments: Yes

C1 Model Size And Budget: Yes

C1 Elaboration: 4.2

C2 Experimental Setup And Hyperparameters: N/A

C3 Descriptive Statistics: Yes

C3 Elaboration: 5

C4 Parameters For Packages: N/A

D Human Subjects Including Annotators: No

D1 Instructions Given To Participants: N/A

D2 Recruitment And Payment: N/A

D3 Data Consent: N/A

D4 Ethics Review Board Approval: N/A

D5 Characteristics Of Annotators: N/A

E Ai Assistants In Research Or Writing: Yes

E1 Information About Use Of Ai Assistants: No

E1 Elaboration: Because it was used only for translation and not for content.

Author Submission Checklist: yes

Submission Number: 1320