47 citations · 87 across the 5 of their papers we have counts for
7 papers
A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and Genes
Dongxu Zhang, Sunil Mohan, Michaela Torkar +1
We introduce ChemDisGene, a new dataset for training and evaluating multi-class multi-label document-level biomedical relation extraction models. Our dataset contains 80k biomedica…
LSTM-RASA Based Agri Farm Assistant for Farmers
Narayana Darapaneni, Selvakumar Raj, Raghul V +3
The application of Deep Learning and Natural Language based ChatBots are growing rapidly in recent years. They are used in many fields like customer support, reservation system and…
Low Resource Recognition and Linking of Biomedical Concepts from a Large Ontology
Sunil Mohan, Rico Angell, Nick Monath +1
Tools to explore scientific literature are essential for scientists, especially in biomedicine, where about a million new papers are published every year. Many such tools provide u…
Clustering-based Inference for Biomedical Entity Linking
Rico Angell, Nicholas Monath, Sunil Mohan +2
Due to large number of entities in biomedical knowledge bases, only a small fraction of entities have corresponding labelled training data. This necessitates entity linking models…
Using Error Decay Prediction to Overcome Practical Issues of Deep Active Learning for Named Entity Recognition
Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan +2
Existing deep active learning algorithms achieve impressive sampling efficiency on natural language processing tasks. However, they exhibit several weaknesses in practice, includin…
MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts
Sunil Mohan, Donghui Li
This paper presents the formal release of MedMentions, a new manually annotated resource for the recognition of biomedical concepts. What distinguishes MedMentions from other annot…