Socially-Informed Timeline Generation for Complex Events
23364Authors
nan
Abstract
Existing timeline generation systems for com- plex events consider only information from traditional media, ignoring the rich social con- text provided by user-generated content that reveals representative public interests or in- sightful opinions. We instead aim to gen- erate socially-informed timelines that con- tain both news article summaries and selected user comments. We present an optimization framework designed to balance topical cohe- sion between the article and comment sum- maries along with their informativeness and coverage of the event. Automatic evaluations on real-world datasets that cover four com- plex events show that our system produces more informative timelines than state-of-the- art systems. In human evaluation, the asso- ciated comment summaries are furthermore rated more insightful than editor’s picks and comments ranked highly by users. 1
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Human Language Technologies: The 2015 Annual Conference of the North American Chapter of the ACL, pages 1055–1065, Denver, Colorado, May 31 – June 5, 2015. c⃝2015 Association for Computational Linguistics Socially-Informed Timeline Generation for Complex Events Lu Wang Claire Cardie Galen Marchetti Department of Computer Science Cornell University Ithaca, NY 14853 {luwang, cardie}@cs.cornell.edu gjm97@cornell.edu Abstract Existing timeline generation systems for com- plex events consider only information from traditional media, ignoring the rich social con- text provided by user-generated content that reveals representative public interests or in- sightful opinions. We instead aim to gen- erate socially-informed timelines that con- tain both news article summaries and selected user comments. We present an optimization framework designed to balance topical cohe- sion between the article and comment sum- maries along with their informativeness and coverage of the event. Automatic evaluations on real-world datasets that cover four com- plex events show that our system produces more informative timelines than state-of-the- art systems. In human evaluation, the asso- ciated comment summaries are furthermore rated more insightful than editor’s picks and comments ranked highly by users. 1 Introduction Social media sites on the Internet provide increas- ingly more, and increasingly popular, means for people to voice their opinions on trending events. Traditional news media — the New York Times and CNN, for example — now provide online mecha- nisms that allow and encourage readers to share re- actions, opinions, and personal experiences relevant to a news story. For complex emerging events, in particular, user comments can provide relevant, in- teresting and insightful information beyond the facts reported in the news. But their large volume and tremendous variation in quality make it impossible * Comment A: The “Crimean Parliament”, headed by an ethnic Russian separatist who was elected leader of parliament AFTER pro-Russian armed forces occupied the parliamentary chambers, has voted for Crimea to be annexed into Russia… * Comment B: Does the West and US have a policy at all? The Obama administration has warned of “increasingly harsh sanctions”, but it is unlikely that Europe will comply… * Comment C: Sanctions are effective and if done in unison with the EU… - Crimeans vote in a referendum to rejoin Russia or return to its status under the 1992 constitution. March 16th, 2014 - The Crimean parliament officially declared independence and requested full accession to the Russian Federation. - Obama declared sanctions on Russian officials considered responsible for the crisis. - The leader of the pro-Russian organization “Youth Unity” was arrested. - President Obama warned Vladimir Putin that further provocations by Russia could isolate and diminish its influence. - One pro-Russian soldier was killed in the Simferopol incident. March 17th, 2014 March 18th, 2014 … summaries for other dates … Figure 1: A snippet of the event timeline on Ukraine Cri- sis is displayed on the left. On the right, we display a set of representative comments addressing the article sum- mary of March 17th. Comment A (underlined) brings a perspective on “Crimean parliament passes declaration of independence” …
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Labeled Text
Existing timeline generation systems for complex events consider only information from traditional media, ignoring the rich social context provided by user-generated content that reveals representative public interests or insightful opinions. We instead aim to generate socially-informed timelines that contain both news article summaries and selected user comments. We present an optimization framework designed to balance topical cohesion between the article and comment summaries along with their informativeness and coverage of the event. Automatic evaluations on real-world datasets that cover four complex events show that our system produces more informative timelines than state-of-theart systems. In human evaluation, the associated comment summaries are furthermore rated more insightful than editor’s picks and comments ranked highly by users. 1
Publication Details
- Paper ID:
- 23364
- Year:
- 2015
- Publication:
- TIPSTER
- Publication Type:
- conf
- DOI:
- nan