Medical Concept Normalization in User-Generated Texts by Learning Target Concept Embeddings. - Katikapalli Subramanyam Kalyan; Sivanesan Sangeetha (LOUHI@EMNLP, 2020)

Want to Identify, Extract and Normalize Adverse Drug Reactions in Tweets? Use RoBERTa. - Katikapalli Subramanyam Kalyan; Sivanesan Sangeetha (SMM4H@COLING, 2020)

SECNLP: A survey of embeddings in clinical natural language processing. - Katikapalli Subramanyam Kalyan; Sivanesan Sangeetha (J. Biomed. Informatics, 2020)

BertMCN: Mapping colloquial phrases to standard medical concepts using BERT and highway network. - Katikapalli Subramanyam Kalyan; Sivanesan Sangeetha (Artif. Intell. Medicine, 2021)

A Hybrid Approach to Measure Semantic Relatedness in Biomedical Concepts. - Katikapalli Subramanyam Kalyan; Sivanesan Sangeetha (CoRR, 2021)

AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing. - Katikapalli Subramanyam Kalyan; Ajit Rajasekharan; Sivanesan Sangeetha (CoRR, 2021)

Semi-supervised, knowledge-integrated pattern learning approach for fact extraction from judicial text. - Anu Thomas; Sivanesan Sangeetha (Expert Syst. J. Knowl. Eng., 2021)

AMMU: A survey of transformer-based biomedical pretrained language models. - Katikapalli Subramanyam Kalyan; Ajit Rajasekharan; Sivanesan Sangeetha (J. Biomed. Informatics, 2022)