AEM uses a GAN-trained generator to map latent event mixtures to entity, location, keyword, and date distributions, and reports higher F-measure than Bayesian baselines for open-domain event extraction on tweets and news articles.
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Open Event Extraction from Online Text using a Generative Adversarial Network
AEM uses a GAN-trained generator to map latent event mixtures to entity, location, keyword, and date distributions, and reports higher F-measure than Bayesian baselines for open-domain event extraction on tweets and news articles.