Is there any plan to upload code?

[uoneway]

I read your paper, "SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy" interestingly.
Is there any plan to upload code?
If so, let me know the day

[bistaumanga]

Hi uoneway, thanks for the interests in our work. We plan to release the code soon.

[uoneway]

Thank you! I'm looking forward to it.

And. I have one question.
According to my understanding, your paper suggests objective, SupMMD which can be applied for diverse models.
Then.. Which model is used for your implement of SupMMD? I cannot find it in the paper.
Could you explain about it?

[bistaumanga]

I am not sure if i understand your question correctly? Can you please let me know which part of paper you have this question?

[uoneway]

From what I understand,, your paper suggests 'technique' can be apply to other 'model'.
So, I want to know the model structure you use(refered as 'SupMMD' in table2 and 3)
(If I am wrong, please let me know ^^;)

[bistaumanga]

Hi @uoneway As we can see in eq 4.5, the model has 2 parts, the f_theta()'s and k(): the first one is for modeling importance, for which we use log-linear model (sec 4.2) and for k(), which is modeling sentence-sentence similarity, we use bigrams similarity kernel or kernels combined with MKL (sec 4.5). In table 2,3, we talk about variants, such as SupMMD (importance modeling + bigrams kernel), SupMMD + MKL (importance + MKL), For oracle extraction variant please see sec 5.4, and for sentence compression, please see first paragraph of sec 6.