cnap / gec-ranking Goto Github PK
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Data and code used in the 2015 ACL paper, "Ground Truth for Grammatical Error Correction Metrics"
Hello,
I want to get the human ranking and its concrete scores of your work.
So I followed your instruction (2. Run TrueSkill) like this:
#!/bin/bash
set -eu
if [ ! -e gec-ranking ]; then
git clone https://github.com/cnap/gec-ranking.git
fi
if [ ! -e wmt-trueskill ]; then
git clone https://github.com/keisks/wmt-trueskill.git
fi
cd wmt-trueskill
if [ ! -e result ]; then
mkdir result
fi
pip2 install -r requirements.txt
cd src
cat ../../gec-ranking/data/all_judgments.csv | python2 infer_TS.py ../result/gec -n 2 -d 0 -s 2
And got the result as follows (note that I sorted them by its score):
[('CAMB', 0.10534599231875195),
('AMU', 0.04306970884724038),
('RAC', 0.020777579012258046),
('src', 0.002039173907479636),
('UFC', -0.010643493294255905),
('IITB', -0.06176253371780177),
('CUUI', -0.0891020502995365),
('POST', -0.10582097317332297),
('SJTU', -0.11394275778296624),
('UMC', -0.18228045159921868),
('PKU', -0.19595280718488897),
('IPN', -0.2648197969906597),
('NTHU', -0.3377111687837812)]
However, the human ranking mentioned in Table 2 in your paper is not identical to the above ranking.
How do I get the same human ranking as your paper?
Thank you.
The GLEU+ paper (https://arxiv.org/pdf/1605.02592.pdf) shows that the formula of precision
However, GLEU+ in your source code is:
(notation:
Could you provide an update on the formula explanation?
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