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Want to Identify, Extract and Normalize Adverse Drug Reactions in Tweets? Use RoBERTa
Extracting ADR mentions is treated as sequence labeling and normalizing ADR mentions is treated as multi-class classification.
Medical Concept Normalization in User Generated Texts by Learning Target Concept Embeddings
Second, it finds cosine similarity between embeddings of input concept mention and all the target concepts.
SECNLP: A Survey of Embeddings in Clinical Natural Language Processing
Traditional representations like Bag of words are high dimensional, sparse and ignore the order as well as syntactic and semantic information.
Fuzzy Aided Application Layer Semantic Intrusion Detection System - FASIDS
The objective of this is to develop a Fuzzy aided Application layer Semantic Intrusion Detection System (FASIDS) which works in the application layer of the network stack.
Cryptography and Security
