Comments (2)
Hi, thanks for using PERIN! Generally, solving the SAT problem can take a couple of hours and itβs quite possible that the algorithm will not be able to find any solution in a reasonable time for a custom dataset. The SAT heuristics can be very unpredictable. Are you using the official AMR dataset from MRP2020 or some other one?
You can also use a greedy search for a suboptimal solution, for this exact reason. Just call the function get_smallest_rule_set
with approximate=True
and it will run a faster algorithm. The solution will not be as good, but it shouldn't lead to any significant performance drop.
from perin.
Thanks for your prompt rely. I'm using MRP2020_Train_Dev-2020CoNLL_CFMRP_LDC2020E05.tgz
from LDC, which might not be exactly the same with the one used in MRP2020 competion. Maybe split_dataset.sh
creates random split too?
I'll try approximate=True
and other solvers.
from perin.
Related Issues (16)
- colab typo HOT 1
- json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) HOT 1
- training the UCCA model with other languages HOT 1
- FileNotFoundError: [Errno 2] No such file or directory: '../data/mrp/2020/cl/training/ucca.deu_train.mrp'
- combined_deu.mrp HOT 2
- OSError: Model name 'xlm-roberta-base' was not found in model name list HOT 2
- large_ucca vs. base_ucca HOT 2
- RuntimeError: CUDA error: CUBLAS_STATUS_EXECUTION_FAILED when calling `cublasSgemmStridedBatched( handle, opa, opb, m, n, k, &alpha, a, lda, stridea, b, ldb, strideb, &beta, c, ldc, stridec, num_batches)` HOT 1
- inference
- one of the words in the sentence disappears from the parsed graph
- Demo no longer works
- parsing error
- Companion data necessary for training? HOT 5
- 'combined'? HOT 4
- filter_nonalnum HOT 1
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