News Article Teaser Tweets and How to Generate Them
We define the task of teaser generation and provide an evaluation benchmark and baseline systems for it. A teaser is a short reading suggestion for an article that is illustrative and includes curiosity-arousing elements to entice potential readers to read the news item. Teasers are one of the main vehicles for transmitting news to social media users. We compile a novel dataset of teasers by systematically accumulating tweets and selecting ones that conform to the teaser definition. We compare a number of neural abstractive architectures on the task of teaser generation and the overall best performing system is See et al.(2017)'s seq2seq with pointer network.
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Sanjeev Kumar Karn (add twitter)
Mark Buckley (add twitter)
Ulli Waltinger (add twitter)
Hinrich Schütze (add twitter)
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07/31/18 05:54PM
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arxiv_cscl: News Article Teaser Tweets and How to Generate Them https://t.co/zEBXne8lGn
arxiv_cscl: News Article Teaser Tweets and How to Generate Them https://t.co/zEBXne8lGn
arxiv_cscl: News Article Teaser Tweets and How to Generate Them https://t.co/zEBXne8lGn
arxiv_cscl: News Article Teaser Tweets and How to Generate Them https://t.co/zEBXne8lGn
arxiv_cscl: News Article Teaser Tweets and How to Generate Them https://t.co/zEBXne8lGn
arxiv_cscl: News Article Teaser Tweets and How to Generate Them https://t.co/zEBXndQKhN
arxiv_cscl: News Article Teaser Tweets and How to Generate Them https://t.co/zEBXne8lGn
arxiv_flying: #EMNLP2018 News Article Teaser Tweets and How to Generate Them. (arXiv:1807.11535v1 [cs\.CL]) https://t.co/IeEnrqAhxi
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