Publication | Closed Access
TREC 2013 Temporal Summarization.
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2013
Year
EngineeringCrisis EventsNatural DisastersNarrative SummarizationEvent CorrelationCommunicationCorpus LinguisticsText MiningAutomatic SummarizationNatural Language ProcessingTrec 2013Information RetrievalData ScienceText SummarizationComplex Event ProcessingComputational LinguisticsLanguage StudiesNews SemanticsContent AnalysisEvent ProcessingKnowledge DiscoveryInformation ExtractionMulti-modal SummarizationNews EventsLinguistics
Unexpected news events such as earthquakes or natural disasters represent a unique information access problem where traditional approaches fail. For example, immediately after an event, the corpus may be sparsely populated with relevant content. Even when, after a few hours, relevant content is available, it is often inaccurate or highly redundant. At the same time, crisis events demonstrate a scenario where users urgently need information, especially if they are directly affected by the event. The goal of this track is to develop systems for efficiently monitoring the information associated with an event over time. Specifically, we are interested in developing systems which (1) can broadcast short, relevant, and reliable sentence-length updates about a developing event and (2) can track the value of important event-related attributes (e.g. number of fatalities). The track has the following goals,