Comments (13)
@Hy-Choi @lxylxyoo we have added the data and instructions to perform experiments on MetaQA dataset. We will add the same for WebQSP in a couple of days. Please check out the code and data. Thanks.
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Yes we will provide soon, along with the data and instructions.
Thanks!
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@apoorvumang When do you provide data and instructions?
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@IISCAditayTripathi OK, Thanks.
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Hi, @apoorvumang thanks for providing these useful codes and instructions.
I am also trying to implement the relation matching part and have a question regarding pruning candidates (a' \in Nh) in section 4.4.1:
Here, what is the meaning of Nh
and how can we obtain it? You mentioned that candidates a'
could be obtained in section 4.4. However, I see a'
are all possible answers in section 4.4 (which is not pruned). Hope to get your feedback. Thanks.
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Hi @Kelaxon
That is a typo. It should be same as in section 4.4 ie a' \in E. We were earlier experimenting with restricting the neighbourhood, which was denoted by N_h, but the final version of EmbedKGQA does not have that restriction.
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@apoorvumang Thanks for your reply.
Yes, I found the restricting neighborhood part in getNeighbourhood()
in folder RoBERTa
. It has one hyper-parameter radius
. So, what is the empirical range of it? Besides, according to section 4.4, it actually has two parameters needed to determine: radius
and r
(gamma in the paper), right?
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@apoorvumang When do you provide relation matching code?It's nine months since you said public code last time.I'm very curious about the implementation of relation matching
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@RainbowRr Apologies, I have been busy with some other work and sidelining this for way too long. Please keep posted on this thread I will add the implementation in some form or another within the next 3 days.
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@RainbowRr Apologies, I have been busy with some other work and sidelining this for way too long. Please keep posted on this thread I will add the implementation in some form or another within the next 3 days.
Thank you very much! Wish you success in your work and research!
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@RainbowRr I have added the code. Please let me know if you face any issues
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You will need to re-download the data and pretrained_models
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Closing for now, please reopen a new issue if you have problems with the implementation
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Related Issues (20)
- relation in fbwq_full
- relation matching
- MetaQA relation match HOT 1
- About ComplEx score calculation HOT 1
- The MetaQA dataset HOT 2
- Question with "half KG" protocol HOT 2
- How to build your own pruning_ train.txt
- Hello I have some questiones about the code such as what is the meaning of "best_valid" HOT 1
- Do you use the folder "train_embeddings"?
- I have some question in the relation matching
- When I run RoBERTa / main.py, running to ' creating model ' GPU takes up 0 and takes several hours to create the model.
- Is it possible to share the pdf version or ppt version slides
- How to use eval? How can I use pre trained model for QA? HOT 1
- RoBERTa used for question embedding
- Pretrained models missing HOT 1
- How to set up fbwq_full?
- miss files HOT 2
- About dataset
- pretrained_models.zip HOT 1
- No found pretrained_model
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