BioNLP: Problems of Current Solutions. Solving Current Problems
summary
Survey of the current state of BioNLP amid the Covid-19-driven surge in research, outlining practical problems the BioNLP community faces with datasets, models, libraries, and architectures. The talk lists and examines those specific challenges and how existing solutions are addressing them.
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chapters (18)
- 0:00Welcome
- 1:07Key projects
- 2:10Medical dictionaries history
- 3:39BioNLP challenges
- 6:51Medical terminology issues
- 8:14Models and tools
- 10:21UMLS integration problems
- 12:52Text annotation libraries issues
- 14:41NLP ecosystem
- 17:30Data visualization
- 18:56Tool fragmentation
- 20:41BioNLP progress
- 21:24Q&A
- 23:16Advanced tools
- 24:41Medical data graphs
- 26:08Bioinformatics open source
- 27:33Unsolved problems
- 28:37Conclusion
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