nlpcl-lab/automatic-tension-detection

automatic-tension-detection's Issues

conenction to 'ted-talks-annotation'?

hi @bowbowbow, I am doing the end-of-the-year check up.

if i understand it correctly, this code is highly related to the
'ted-talks-annotation' code. could you please describe the connection
between the two in the readme of this code or the code of 'ted-talks-annotation'?

it will be much helpful to understand (and documentation of) the development process

thanks, yours sincerely, Yang

architecture please

hi @bowbowbow, I am doing the end-of-the-year check up.
it seems that the README do not contain information of how
the tool works (what I mean by how is the model architecture).
in order for others to utilize the code, it is critical for them
to understand how it works and modify the code. for that, please add some description
of how it works (for example by a flow chart) or any form of information that would do the same

thanks, yours sincerely, Yang

input output

hi, @bowbowbow, I am doing the end-of-the-year check up.

please specify the input and output of the system in README

if possible, please describe it simply so that people can try any text with the system,
by setting it as "python main.py --input_sentence input_file.txt --ouput output_file.txt"

thanks, yours sincerely, Yang