Nowadays many research articles are prefaced with research highlights to summarize the main findings of the paper. Highlights not only help researchers precisely and quickly identify the contributions of a paper, they also enhance the discoverability of the article via search engines. We aim to automatically construct research highlights given certain segments of the research paper. We use a pointer-generator network with coverage mechanism and a contextual embedding layer at the input that encodes the input tokens into SciBERT embeddings. We test our model on a benchmark dataset, CSPubSum and also present MixSub, a new multi-disciplinary corpus of papers for automatic research highlight generation. For both CSPubSum and MixSub, we have observed that the proposed model achieves the best performance compared to related variants and other models proposed in the literature. On the CSPubSum data set, our model achieves the best performance when the input is only the abstract of a paper as opposed to other segments of the paper. It produces ROUGE-1, ROUGE-2 and ROUGE-L F1-scores of 38.26, 14.26 and 35.51, respectively, METEOR score of 32.62, and BERTScore F1 of 86.65 which outperform all other baselines. On the new MixSub data set, where only the abstract is the input, our proposed model (when trained on the whole training corpus without distinguishing between the subject categories) achieves ROUGE-1, ROUGE-2 and ROUGE-L F1-scores of 31.78, 9.76 and 29.3, respectively, METEOR score of 24.00, and BERTScore F1 of 85.25, outperforming other models.
A group of inflammatory arthritic disorders known as juvenile idiopathic arthritis (JIA) are characterized by arthritis of uncertain origin that first manifests in a child under the age of 16. This is the most common chronic rheumatological disease of childhood. The JIA is present in every country and has an incidence of 1 in 100,000. Despite the absence of a documented etiology, there are a number of genetic and environmental risk factors as well as immunologic abnormalities that can be seen and used to infer information about the pathophysiology of the illness. Although there is no cure, modern therapy can frequently reduce the underlying inflammation and enhance function and symptoms. In this case patient showed complete resolution of symptoms with no signs of recurrence. As a result, it helps patient to live a healthy life.
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