* nlp study
** STS(Semantic Text Similarity)
** RE(Relation Extraction in words of sentence)  
** TC(Topic Classification)
** MRC(Machine Reading Comprehension)

* all use pretrained language models such as GPT, BERT, ELECTRA.
** fine-tuning methods are also utilized
** extract features and find relationship like semantic similarities, relation between words, between topic and writings, answers and questions.

* Those are applicable to bio nlp topics: DTI, predicting potential antibiotic resistence genes
* And we can make a integration framework or program that belong many diverse BIO NLP methods.  

*goal  
** making computer understand biomedi knowledge more better
  • Q:? ** working hours(office arrival time and departure time) -typyical schedule about
    ** project that take part in
    ** team members and roles
    ** topics that you are interested in these days?
    ** nlp applying


hmmm let me think about that //

For sure, I totally understand…” //
“That’s a really great question, I actually have some personal experience with that” //
“It’s funny you mention that, because the same thing happened to me //

I guess I would largely agree” // “That makes sense, I can get behind that”. //

conduct research, complete reserach, do reserach