Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling.

Lingzhi Wang|Jing Li|Xingshan Zeng|Kam-Fai Wong


Anthology ID:DBLP:conf/www/WangLZW22
Volume:WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022
Year:2022
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:1663-1672
URL:https://doi.org/10.1145/3485447.3512285
DOI:https://doi.org/10.1145/3485447.3512285
DBLP:conf/www/WangLZW22
BibTeX:
@inproceedings{wang-2022-successful, author = {Lingzhi Wang and Jing Li and Xingshan Zeng and Kam-Fai Wong}, editor = {Fr\'{e}d\'{e}rique Laforest and Rapha\"{e}l Troncy and Elena Simperl and Deepak Agarwal and Aristides Gionis and Ivan Herman and Lionel M\'{e}dini}, title = {{Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling}}, booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}}, pages = {1663--1672}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3485447.3512285}, doi = {https://doi.org/10.1145/3485447.3512285} }