With a Little Help from my (Linguistic) Friends: Topic Segmentation of Multi-party Casual Conversations - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2024

With a Little Help from my (Linguistic) Friends: Topic Segmentation of Multi-party Casual Conversations

Résumé

Topics play an important role in the global organisation of a conversation as what is currently discussed constrains the possible contributions of the participant. Understanding the way topics are organised in interaction would provide insight on the structure of dialogue beyond the sequence of utterances. However, studying this high-level structure is a complex task that we try to approach by first segmenting dialogues into smaller topically coherent sets of utterances. Understanding the interactions between these segments would then enable us to propose a model of topic organisation at a dialogue level. In this paper we work with open-domain conversations and try to reach a comparable level of accuracy as recent machine learning based topic segmentation models but with a formal approach. The features we identify as meaningful for this task help us understand better the topical structure of a conversation.
Fichier principal
Vignette du fichier
CODI TextTiling/main.pdf (228.07 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04425655 , version 1 (02-02-2024)

Licence

Paternité

Identifiants

Citer

Amandine Decker, Maxime Amblard. With a Little Help from my (Linguistic) Friends: Topic Segmentation of Multi-party Casual Conversations. CODI 2024 - 5th workshop on Computational Approaches to Discourse, Mar 2024, Malta, Malta. ⟨hal-04425655⟩
19 Consultations
14 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More