An annotated corpus of quoted opinions in news articles

Tim O'Keefe, James Curran, Irena Koprinska and Peter Ashwell

The 51st Annual Meeting of the Association for Computational Linguistics - Short Papers (ACL Short Papers 2013)
Sofia, Bulgaria, August 4-9, 2013

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Abstract

Quotes are used in news articles as evidence of a person’s opinion, and thus are a useful target for opinion mining. However, labelling each quote with a polarity score directed at a textually-anchored target can ignore the broader issue that the speaker is commenting on. We solve this by instead labelling quotes as supporting or opposing a clear expression of a point of view on a topic, called a position statement. Using this we construct a corpus covering 7 topics with 2,228 quotes.

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