Skip to content

Create an example for medical text understanding #65

Open
@Leolty

Description

@Leolty

The idea is mainly for Abbreviation detection and Hyponym detection.

For example, the sample text is from wikipedia, Source:

Sample text:
Appropriately treating underlying illnesses (such as HIV/AIDS, diabetes mellitus, and malnutrition) (HYPONYM) can decrease the risk of pneumonia.[24][84][87] In children less than 6 months of age, exclusive breast feeding reduces both the risk and severity of disease.[24] In people with HIV/AIDS and a CD4 count of less than 200 cells/uL the antibiotic trimethoprim/sulfamethoxazole decreases the risk of Pneumocystis pneumonia[88] and is also useful for prevention in those that are immunocompromised but do not have HIV.[89]

Abbreviation includes HIV, AIDS, CD4, …

Possible included components:

  1. Abbr detection
  2. hyponym detection
  3. Coreference resolution

(Other processors that can help text understanding can be added as well)

Activity

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Assignees

Labels

No labels
No labels

Type

No type

Projects

No projects

Milestone

No milestone

Relationships

None yet

Development

No branches or pull requests

Issue actions