CAN DEEP LEARNING LARGE LANGUAGE MODELS BE USED TO UNRAVEL KNOWLEDGE GRAPH CREATION?

Author:

Anuyah Sydney1ORCID,Chakraborty Sunandan1ORCID

Affiliation:

1. Indiana University, USA

Publisher

ACM

Reference23 articles.

1. Multiple features for clinical relation extraction: A machine learning approach;Alimova Ilseyar;Journal of biomedical informatics,2020

2. Role of obesity, physical exercise, adipose tissue-skeletal muscle crosstalk and molecular advances in Barrett’s esophagus and esophageal adenocarcinoma;Bilski Jan;International Journal of Molecular Sciences,2022

3. Tips and tricks in court—Practical experience from a medical viewpoint;Burmester G-R;Zeitschrift für Rheumatologie,2018

4. Danisa M Clarrett and Christine Hachem. 2018. Gastroesophageal reflux disease (GERD). Missouri medicine 115, 3 (2018), 214.

5. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).

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