2 research outputs found

    The Role of Pharmacist in the Health Care System: Current Scenario in India

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    Pharmacists are society's specialists on drugs. The Pharmacist of today is a drug-maker, drug-dispenser, drug-custodian, patient-counselor, drug-researcher, and drug-educator and above all an honest and patriotic citizen. The techno-proficient foundation of the drug expert gives him/her the certainty of providing services with a moral way to deal with the satisfaction of patients. The consecrated qualities are required to be cherished and professed by the pharmacist. Pharmacists assume a significant job in giving health care services, benefits by means of community pharmacy services in rural areas where physicians are not accessible or where physician services are unreasonably expensive for meeting the health care necessities. The paper at that point recognizes how pharmacists give expanded services, identifies key challenges and barriers, and suggests rules and regulations that could help secure open doors for pharmacists to play out an extended job

    HTSS: A novel hybrid text summarisation and simplification architecture

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    Text simplification and text summarisation are related, but different sub-tasks in Natural Language Generation. Whereas summarisation attempts to reduce the length of a document, whilst keeping the original meaning, simplification attempts to reduce the complexity of a document. In this work, we combine both tasks of summarisation and simplification using a novel hybrid architecture of abstractive and extractive summarisation called HTSS. We extend the well-known pointer generator model for the combined task of summarisation and simplification. We have collected our parallel corpus from the simplified summaries written by domain experts published on the science news website EurekaAlert (www.eurekalert.org). Our results show that our proposed HTSS model outperforms neural text simplification (NTS) on SARI score and abstractive text summarisation (ATS) on the ROUGE score. We further introduce a new metric (CSS1) which combines SARI and Rouge and demonstrates that our proposed HTSS model outperforms NTS and ATS on the joint task of simplification and summarisation by 38.94% and 53.40%, respectively. We provide all code, models and corpora to the scientific community for future research at the following URL: https://github.com/slab-itu/HTSS/
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