xwhan / knowledge-aware-reader Goto Github PK

Hi,
Could you please tell how the arguments for these are given?
pred_kb_file = sys.argv[2]
pred_doc_file = sys.argv[3]
pred_hybrid_file = sys.argv[4]

Thanks

您好，那个webqsp.tar.gz 文件的链接好像失效了，能重新提供一个链接吗？谢谢

Dear Dr.Wang ,
Does the project need wikimovie data set？

Hello, thanks a lot for the code first! I have an question : I find there is a sign(2) about the top entities mentioned by the question, I can find this paper "Semantic Parsing for Single-Relation Question Answering" by the sign, but I can't find the method how to determine the topic entities.
I would really appreciate if you can help me when you aren't busy, thanks a lot!

The data file cannot be accessed now

我在运行的时候发现embedding处发生了错误，说indices在这里不是long类型，但是我改过之后却依然是这样的，所以想问您这个怎么解决

Hi guys, thank you for open-sourcing the code! However, from the provided arxiv URL, I find one thing which may be a typo. Please see the red block in the following screenshot:

I cannot see any line which mentions about 28.1 on F1, but it appears in the ablation study table. Therefore, I guess the result in table 1 should be 28.1, right? The same for Hits@1. Thanks :)

Hello, Professor Xiong.
I'd like to ask you a question. I want test it on wikimovie dataset. But I don't know how to generate the rel_word_idx.npy file.

Hello, thanks a lot for releasing the code for the paper. It is very helpful. I am wondering where can I find the mapping between the kb entity (e.g. "m.16jpgj") to a real text. I believe it is needed to obtain glove embeddings of KB entities, which are part of the released preprocessed data.

I have looked at several different sources and it looks like people have been using the Freebase from FastRDFStore Package. I have downloaded Freebase dump from this repo, but it looks like 17% of KB entities in your preprocessed data are missing.

I would really appreciate if you can provide a pointer to the public data with the mapping, or release that mapping for WebQSP. Thanks!

Dear author,
I have one questions to ask you.
In the main.py ,no module named data_loader and graftnet.