47 citations · 99 across the 12 of their papers we have counts for
4 papers · 1 filter
BERTChem-DDI : Improved Drug-Drug Interaction Prediction from text using Chemical Structure Information
Ishani Mondal
Traditional biomedical version of embeddings obtained from pre-trained language models have recently shown state-of-the-art results for relation extraction (RE) tasks in the medica…
Medical Entity Linking using Triplet Network
Ishani Mondal, Sukannya Purkayastha, Sudeshna Sarkar +4
Entity linking (or Normalization) is an essential task in text mining that maps the entity mentions in the medical text to standard entities in a given Knowledge Base (KB). This ta…
Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions
Ishani Mondal
Off-the-shelf biomedical embeddings obtained from the recently released various pre-trained language models (such as BERT, XLNET) have demonstrated state-of-the-art results (in ter…
ALEX: Active Learning based Enhancement of a Model's Explainability
Ishani Mondal, Debasis Ganguly
An active learning (AL) algorithm seeks to construct an effective classifier with a minimal number of labeled examples in a bootstrapping manner. While standard AL heuristics, such…