Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models

Zhao Meng, Lili Mou, Zhi Jin


Anthology ID:
L18-1496
Volume:
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
Month:
May
Year:
2018
Address:
Miyazaki, Japan
Editors:
Nicoletta Calzolari, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Koiti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis, Takenobu Tokunaga
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
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Pages:
Language:
URL:
https://aclanthology.org/L18-1496
DOI:
Bibkey:
Cite (ACL):
Zhao Meng, Lili Mou, and Zhi Jin. 2018. Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan. European Language Resources Association (ELRA).
Cite (Informal):
Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models (Meng et al., LREC 2018)
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PDF:
https://aclanthology.org/L18-1496.pdf