Modeling Information Change in Science Communication with Semantically Matched Paraphrases (2022.emnlp-main)
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| Challenge: | Whether the media faithfully communicate scientific information has long been a core issue to the science community. |
| Approach: | They propose to use the SCIENTIFIC PARAPHRASE AND INFORMATION CHANGE DATASET to identify paraphrased scientific findings annotated for degree of information change to enable large-scale tracking and analysis of information changes in science communication. |
| Outcome: | The proposed dataset contains 6,000 scientific finding pairs extracted from news stories, social media discussions, and full texts of original papers. |
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