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Cheta 25 may
- 1. Chemistry Using Text Annotation Lezan Hawizy, Peter Murray-Rust, Jun’ichi Tsujii, Bill Black, Jim Downing & Sophia Ananiadou Ba La
- 3. CheTA: issues Human annotations, especially in Chemistry, are • Accurate but labour-intensive • Very useful but expensive • Great benchmarks but time- consuming
- 5. CheTA: significance Automate the metadata generation for chemistry using text-mining tools
- 6. CheTA: significance Automate metadata generation for chemistry using text-mining tools
- 7. CheTA: significance Automate metadata generation for chemistry using text-mining tools Add chemistry to the largest repository of text-mining tools (U- Compare)
- 8. CheTA: significance Automate metadata generation for chemistry using text-mining tools Add chemistry to the largest repository of text-mining tools (U- Compare)
- 9. CheTA: significance Automate metadata generation for chemistry using text-mining tools Add chemistry to the largest repository of text-mining tools (U- Compare) Design chemistry specific workflows which are useful to all scientists in general.
- 10. CheTA: audience Annotators working on chemical documents Search engines wanting to incorporate new data into their indices Scientific community leaning towards using text-mining tools People responsible towards building corpora and evaluation standards
- 11. CheTA: currently … List of chemical entities Chemistry documents
- 12. CheTa: currently… Explore chemistry-text mining relation using OSCAR Examine new and efficient machine- learning techniques Design effective evaluation framework that can port to other domains as well
- 13. CheTA: oscarIT
- 14. CheTA: currently … Use U-Compare to Run applications User interface to compare different annotations Add chemistry to its repositories Implement the evaluation framework
Editor's Notes
- A typical view of annotation in Chemistry. Identify each entity, markup requisite labels and references. It is quite tedious and requires expert knowledge for efficient annotation.
- Why do we need these annotations? Because they are accurate! A human expert-knowledge is likely to very accurate. It is useful for automation such as training mathematical models for automatic named entity recognition. Once automation has been achieved, these human annotation can serve as great benchmarks!
- Combine text, process and visualisation
- Cheta aims to automate annotation
- Make chemistry accessible to other realms of Science
- Design mechanisms so that scientists can use various workflows without the need for programming acumen
- OSCAR reads a list of chemistry documents and returns a list of chemical entities such as chemical compounds, reaction, chemical adjectives etc.
- Napolean’s march graph of OSCAR. Describes how a document containing 4500 words is trimmed to a list of 467 entities.
- Tailor OSCAR into U-Compare components; design workflows. Add a user interface to compare several NERs.