Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models
Meng Zhao, Lili Mou, Zhi Gang Jin · Proceedings of the AAAI Conference on Artificial Intelligence · 2018
In this paper, we address the problem of speaker classification in multi-party conversation, and collect massive data to facilitate research in this direction. We further investigate temporal-based and content-based models of speakers, and propose several hybrids of them. Experiments show that speaker classification is feasible, and that hybrid models outperform each single component.