The discovery of new chemical compounds is perceived as a key driver of the chemistry industry and many other economic sectors. The information about the new discoveries are usually disclosed in scientific literature and in particular, in chemical …
This paper describes our participation in the Social Media Mining for Health Application (SMM4H 2020) Challenge Track 2 for identifying tweets containing Adverse Effects (AEs). Our system uses Convolutional Neural Networks. We explore downsampling, …
This paper describes our system, SciREL (Scientific abstract RELation extraction system), developed for the SemEval 2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers. We present a feature-vector based system to extract …
Text mining techniques are useful in extracting hidden information about the biomedical interactions such as Protein-Protein, Drug-Drug and Protein-Drug. Recently, there is an increased interest in automated methods due to the vast growth in the …