Comments (2)
apoorvumang
commented on July 17, 2024
You are right, we get about ~0.75 with the best hyperparameters but without relation scoring. In 3-hop setting, since the paths are too long, relation scoring is needed to get good performance.
I will be adding the relation scoring soon, I apologize for the delay. Please keep track of the 'relation scoring' issue for this resolution.
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ToneLi
commented on July 17, 2024
I have run the LSTM code for 3-hop on full KG settings, but I got a 0.7271963009667928 score. Do I need to change some parameters when I run the code for 3-hop?
Thanks!
Dear Sir or Madam, can you share your command in metaQA-hop3-full kg, my result in hop3 is 0.48, it's too low.
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Related Issues (20)
- kge target HOT 1
- [MetaQA] Training data contains knowledge base triplets as questions HOT 2
- 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
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