Did You Get It? A Zero-Shot Approach to Locate Information Transfers in Conversations
Eliot Maës, Hossam Boudraa, Philippe Blache, Leonor Becerra-Bonache
Abstract
Interaction theories suggest that the emergence of mutual understanding between speakers in natural conversations depends on the construction of a shared knowledge base (common ground), but the details of which information and the circumstances under which it is memorized are not explained by any model. Previous works have looked at metrics derived from Information Theory to quantify the dynamics of information exchanged between participants, but do not provide an efficient way to locate information that will enter the common ground. We propose a new method based on the segmentation of a conversation into themes followed by their summarization. We then obtain the location of information transfers by computing the distance between the theme summary and the different utterances produced by a speaker. We evaluate two Large Language Models (LLMs) on this pipeline, on the French conversational corpus Paco-Cheese. More generally, we explore how the recent developments in the field of LLMs provide us with the means to implement these new methods and more generally support research into questions that usually heavily relies on human annotators.- Anthology ID:
- 2024.lrec-main.437
- Volume:
- Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Month:
- May
- Year:
- 2024
- Address:
- Torino, Italia
- Editors:
- Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
- Venues:
- LREC | COLING
- SIG:
- Publisher:
- ELRA and ICCL
- Note:
- Pages:
- 4877–4890
- Language:
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2024.lrec-main.437/
- DOI:
- Cite (ACL):
- Eliot Maës, Hossam Boudraa, Philippe Blache, and Leonor Becerra-Bonache. 2024. Did You Get It? A Zero-Shot Approach to Locate Information Transfers in Conversations. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 4877–4890, Torino, Italia. ELRA and ICCL.
- Cite (Informal):
- Did You Get It? A Zero-Shot Approach to Locate Information Transfers in Conversations (Maës et al., LREC-COLING 2024)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2024.lrec-main.437.pdf