Attention model-based and multi-organism driven gene recognition from text: application to a microbial biofilm organism set

Author:

Bomgni Alain Bertrand1,Fotseu Ernest Basile Fotseu2,Wambo Daril Raoul Kengne2,Sani Rajesh K.3,Lushbough Carol1,Zohim Etienne Gnimpieba1

Affiliation:

1. University of South Dakota,Dept. of Biomedical Engineering,Vermillion,USA

2. University of Dschang,Dept. of Computer Science,Dschang,Cameroon

3. SD School of Mines and Technology,Dept. of Chem. and Bio. Engineering,Rapid city,USA

Publisher

IEEE

Reference12 articles.

1. TaggerOne: joint named entity recognition and normalization with semi-Markov Models

2. D3NER: Biomedical named entity recognition using CRF-biLSTM improved with fine-tuned embeddings of various linguistic information;th;Bioinformatics,2018

3. PEDL: extracting protein–protein associations using deep language models and distant supervision

4. Recent advances and emerging applications in text and data mining for biomedical discovery;gh;Briefings in Bioinformatics 2016,0

5. HunFlair: An Easy-to-Use Tool for State-of-the-Art Biomedical Named Entity Recognition;weber,2020

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