The RIP Corpus of Collaborative Hypothesis-Making

TY - GEN

T1 - The RIP Corpus of Collaborative Hypothesis-Making

AU - Schad, Ella

AU - Visser, Jacky

AU - Reed, Chris

N1 - © 2024 ELRA Language Resource Association

PY - 2024/5

Y1 - 2024/5

N2 - The dearth of literature combining hypothesis-making and collaborative problem solving presents a problem in the investigation into how hypotheses are generated in group environments. A new dataset, the Resolving Investigative hyPotheses (RIP) corpus, is introduced to address this issue. The corpus uses the fictionalised environment of a murder investigation game. An artificial environment restricts the number of possible hypotheses compared to real-world situations, allowing a deeper dive into the data. In three groups of three, participants collaborated to solve the mystery: two groups came to the wrong conclusion in different ways, and one succeeded in solving the game. RIP is a 49k-word dialogical corpus, consisting of three sub-corpora, annotated for argumentation and discourse structure on the basis of Inference Anchoring Theory. The corpus shows the emergent roles individuals took on and the strategies the groups employed, showing what can be gained through a deeper exploration of this domain. The corpus bridges the gap between these two areas – hypothesis generation and collaborative problem solving – by using an environment rich with potential for hypothesising within a highly collaborative space.

AB - The dearth of literature combining hypothesis-making and collaborative problem solving presents a problem in the investigation into how hypotheses are generated in group environments. A new dataset, the Resolving Investigative hyPotheses (RIP) corpus, is introduced to address this issue. The corpus uses the fictionalised environment of a murder investigation game. An artificial environment restricts the number of possible hypotheses compared to real-world situations, allowing a deeper dive into the data. In three groups of three, participants collaborated to solve the mystery: two groups came to the wrong conclusion in different ways, and one succeeded in solving the game. RIP is a 49k-word dialogical corpus, consisting of three sub-corpora, annotated for argumentation and discourse structure on the basis of Inference Anchoring Theory. The corpus shows the emergent roles individuals took on and the strategies the groups employed, showing what can be gained through a deeper exploration of this domain. The corpus bridges the gap between these two areas – hypothesis generation and collaborative problem solving – by using an environment rich with potential for hypothesising within a highly collaborative space.

M3 - Conference contribution

SP - 16047

EP - 16057

BT - Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

PB - European Language Resources Association (ELRA)

CY - Torino, Italy

T2 - The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation

Y2 - 22 May 2024 through 24 May 2024

ER -