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StoryLens: A Multiple Views Corpus for Location and EventDetection

Brasoveanu, Adrian M. P. and Nixon, Lyndon J.B. and Weichselbraun, Albert (2018) StoryLens: A Multiple Views Corpus for Location and EventDetection. In: WIMS 2018 - 8th International Conference on Web Intelligence, Mining and Semantics, June 25 – 27 2018, Novi Sad, Serbia. (In Press)

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Abstract

The news media landscape tends to focus on long-running narratives. Correctly processing new information, therefore, requires considering multiple lenses when analyzing media content. Traditionally it would have been considered sufficient to extract the topics or entities contained in a text in order to classify it, but today it is important to also look at more sophisticated annotations related to fine-grained geolocation, events, stories and the relations between them. In order to leverage such lenses we propose a new corpus that offers a diverse set of annotations over texts collected from multiple media sources. We also showcase the framework used for creating the corpus, as well as how the information from the various lenses can be used in order to support different use cases in the EU project InVID for verifying the veracity of online video.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
ID Code:111
Deposited By: Brasoveanu Adrian M.P.
Deposited On:30 May 2018 11:18
Last Modified:04 Oct 2018 06:56

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