Abstract
We present a simple method for evergrowing extraction of predicate paraphrases from news headlines in Twitter. Analysis of the output of ten weeks of collection shows that the accuracy of paraphrases with different support levels is estimated between 60-86%. We also demonstrate that our resource is to a large extent complementary to existing resources, providing many novel paraphrases. Our resource is publicly available, continuously expanding based on daily news.
Cite
CITATION STYLE
Shwartz, V., Stanovsky, G., & Dagan, I. (2017). Acquiring predicate paraphrases from news tweets. In *SEM 2017 - 6th Joint Conference on Lexical and Computational Semantics, Proceedings (pp. 155–160). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s17-1019
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