Create an example for medical text understanding

The idea is mainly for Abbreviation detection and Hyponym detection.

For example, the sample text is from wikipedia, [Source](https://en.wikipedia.org/wiki/Pneumonia):

Sample text:
Appropriately treating `underlying illnesses (such as HIV/AIDS, diabetes mellitus, and malnutrition) (HYPONYM)` can decrease the risk of pneumonia.[[24]](https://en.wikipedia.org/wiki/Pneumonia#cite_note-WHOPrevent2012-25)[[84]](https://en.wikipedia.org/wiki/Pneumonia#cite_note-CDCPrev2012-85)[[87]](https://en.wikipedia.org/wiki/Pneumonia#cite_note-88) In children less than 6 months of age, exclusive breast feeding reduces both the risk and severity of disease.[[24]](https://en.wikipedia.org/wiki/Pneumonia#cite_note-WHOPrevent2012-25) In people with HIV/AIDS and a CD4 count of less than 200 cells/uL the antibiotic [trimethoprim/sulfamethoxazole](https://en.wikipedia.org/wiki/Trimethoprim/sulfamethoxazole) decreases the risk of [Pneumocystis pneumonia](https://en.wikipedia.org/wiki/Pneumocystis_pneumonia)[[88]](https://en.wikipedia.org/wiki/Pneumonia#cite_note-89) 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)