Result

[1234923iuuu]

Your work is good! But when I tried the test on datasets assistments2009, I can only get 0.8225 instead of 0.8427. If I ignore something?

[codingchild2424]

Hi. Thank you for your review of our works.

We changed code and paper little bit, but paper was not yet replaced because of the arXiv system. We uploaded replacement already, so  you can see the changed performance in the weekend or next week.

Final score of our work will be like this.

It will be similar to your implementation:)

Thank you.

Best regards, Unggi Lee

---

Unggi Lee Ph.D. student of Computing Education, Department of Computer Science and Engineering, Korea University Master of Educational Technology, Department of Education, Seoul National University @. Mobile +82 10-5494-5896 On Sep 6, 2022 12:14 PM +0900, zubaifeng @.>, wrote:

Your work is good! But when I tried the test on datasets assistments2009, I can only get 0.8225 instead of 0.8427. If I ignore something? — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you are subscribed to this thread.Message ID: @.***>

[1234923iuuu]

Thanks for your reply!

------------------ 原始邮件 ------------------ 发件人: @.>; 发送时间: 2022年9月6日(星期二) 中午11:21 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [codingchild2424/MonaCoBERT] Result (Issue #3)

Hi. Thank you for your review of our works.

We changed code and paper little bit, but paper was not yet replaced because of the arXiv system. We uploaded replacement already, so  you can see the changed performance in the weekend or next week.

Final score of our work will be like this.

It will be similar to your implementation:)

Thank you.

Best regards, Unggi Lee

---

Unggi Lee Ph.D. student of Computing Education, Department of Computer Science and Engineering, Korea University Master of Educational Technology, Department of Education, Seoul National University @. Mobile +82 10-5494-5896 On Sep 6, 2022 12:14 PM +0900, zubaifeng @.>, wrote: > Your work is good! But when I tried the test on datasets assistments2009, I can only get 0.8225 instead of 0.8427. If I ignore something? > — > Reply to this email directly, view it on GitHub, or unsubscribe. > You are receiving this because you are subscribed to this thread.Message ID: @.***>

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>

[codingchild2424]

We added final score on the README. Thank you!

[codingchild2424]

Thank you.

And, if you research the KT, then we can interchange research experience.

I usually research KT or Learning Analytics, and gather the research in South Korea as research group, named STELA.

If you have interest in interchanging research experience, then please reply.

Thank you.

---

Unggi Lee Ph.D. student of Computing Education, Department of Computer Science and Engineering, Korea University Master of Educational Technology, Department of Education, Seoul National University @. Mobile +82 10-5494-5896 On Sep 6, 2022 12:23 PM +0900, zubaifeng @.>, wrote:

Thanks for your reply!

------------------ 原始邮件 ------------------ 发件人: @.>; 发送时间: 2022年9月6日(星期二) 中午11:21 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [codingchild2424/MonaCoBERT] Result (Issue #3)

Hi. Thank you for your review of our works.

We changed code and paper little bit, but paper was not yet replaced because of the arXiv system. We uploaded replacement already, so  you can see the changed performance in the weekend or next week.

Final score of our work will be like this.

It will be similar to your implementation:)

Thank you.

Best regards, Unggi Lee

---

Unggi Lee Ph.D. student of Computing Education, Department of Computer Science and Engineering, Korea University Master of Educational Technology, Department of Education, Seoul National University @. Mobile +82 10-5494-5896 On Sep 6, 2022 12:14 PM +0900, zubaifeng @.>, wrote: > Your work is good! But when I tried the test on datasets assistments2009, I can only get 0.8225 instead of 0.8427. If I ignore something? > — > Reply to this email directly, view it on GitHub, or unsubscribe. > You are receiving this because you are subscribed to this thread.Message ID: @.***>

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.> — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.>