2013 RankingExplanatorySentencesforO

• (Kim et al., 2013) ⇒ Hyun Duk Kim, Malu G. Castellanos, Meichun Hsu, ChengXiang Zhai, Umeshwar Dayal, and Riddhiman Ghosh. (2013). “Ranking Explanatory Sentences for Opinion Summarization.” In: Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval. ISBN:978-1-4503-2034-4 doi:10.1145/2484028.2484172

Subject Headings: Opinion Mining, Sentence Ranking.

Cited By

• http://scholar.google.com/scholar?q=%222013%22+Ranking+Explanatory+Sentences+for+Opinion+Summarization
• http://dl.acm.org/citation.cfm?id=2484028.2484172&preflayout=flat#citedby

Quotes

Abstract

We introduce a novel sentence ranking problem called explanatory sentence extraction (ESE) which aims to rank sentences in opinionated text based on their usefulness for helping users understand the detailed reasons of sentiments (i.e.," explanatoriness "). We propose and study several general methods for scoring the explanatoriness of a sentence. We create new data sets and propose a new measure for evaluation. Experiment results show that the proposed methods are effective, outperforming a state of the art sentence ranking method for standard text summarization.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2013 RankingExplanatorySentencesforO	ChengXiang Zhai Umeshwar Dayal Hyun Duk Kim Malu G. Castellanos Meichun Hsu Riddhiman Ghosh			Ranking Explanatory Sentences for Opinion Summarization				10.1145/2484028.2484172		2013