PhAITV: A Phrase Author Interaction Topic Viewpoint Model for the Summarization of Reasons Expressed by Polarized Stances
- Amine Trabelsi
- Osmar R. Zaiane, University of Alberta (Database)
This work tackles the problem of unsupervised modeling and extraction of the main contrastive sentential reasons conveyed by divergent viewpoints in text documents. It proposes a pipeline framework that is centered around the detection and clustering of phrases, assimilated to argument facets using a novel Phrase Author Interaction Topic-Viewpoint (PhAITV) model. The evaluation is conducted on all the components of the framework. It is mainly based on the informativeness, the relevance and the clustering accuracy of extracted reasons. The framework shows a significant improvement over several configurations and state-of-the-art methods in contrastive summarization on online debate datasets.
Citation
A. Trabelsi, O. Zaiane. " PhAITV: A Phrase Author Interaction Topic Viewpoint Model for the Summarization of Reasons Expressed by Polarized Stances". International AAAI Conference on Web and Social Media (ICWSM 2019), Munich, Germany, pp 482-492, June 2019.| Keywords: | |
| Category: | In Conference |
| Web Links: | AAAI |
BibTeX
@incollection{Trabelsi+Zaiane:ICWSM201919,
author = {Amine Trabelsi and Osmar R. Zaiane},
title = { PhAITV: A Phrase Author Interaction Topic Viewpoint Model for the
Summarization of Reasons Expressed by Polarized Stances},
Pages = {482-492},
booktitle = {International AAAI Conference on Web and Social Media (ICWSM
2019)},
year = 2019,
}Last Updated: September 15, 2020Submitted by Sabina P
