@inproceedings{98642bc509a04ef892172d116e70105b,
title = "Expert-guided contrastive opinion summarization for controversial issues",
abstract = "This paper presents a new model for the task of contrastive opinion summarization (COS) particularly for controversial issues. Traditional COS methods, which mainly rely on sentence similarity measures are not sufficient for a complex controversial issue. We therefore propose an Expert-Guided Contrastive Opinion Summarization (ECOS) model. Compared to previous methods, our model can (1) integrate expert opinions with ordinary opinions from social media and (2) better align the contrastive arguments under the guidance of expert prior opinion. We create a new data set about a complex social issue with {"}sufficient{"} controversy and experimental results on this data show that the proposed model are effective for (1) producing better arguments summary in understanding a controversial issue and (2) generating contrastive sentence pairs.",
keywords = "Contrastive opinion summarization, Controversial issue, Opinion mining, Similarity, Topic model",
author = "Jinlong Guo and Yujie Lu and Tatsunori Mori and Catherine Blake",
year = "2015",
month = may,
day = "18",
doi = "10.1145/2740908.2743038",
language = "English (US)",
series = "WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web",
publisher = "Association for Computing Machinery",
pages = "1105--1110",
booktitle = "WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web",
address = "United States",
note = "24th International Conference on World Wide Web, WWW 2015 ; Conference date: 18-05-2015 Through 22-05-2015",
}