Comments (2)
Thank you for your message!
Are you using your own data? If it is the case, could you give a sample?
from semi.
Thank you for your reply. In fact, I am using the data privided by you. Specifically, I proceed with the refinement process with the following command for building the refined semantic model of s01-cb in task_01:
node run/refinement.js data/taheriyan2016/task_01/semantic_types/updated/s01-cb_st.json data/pc/model_datasets/scores/pc/6000/score.json data/taheriyan2016/task_01/semantic_models/steiner/graph/s01-cb_steiner.json data/taheriyan2016/task_01/semantic_models/plausibles/graph/s01-cb_graph.json data/pc/semantic_models/s01-cb
-
data/taheriyan2016/task_01/semantic_types/updated/s01-cb_st.json
is the semantic type file for s01-cb in task_01. -
data/pc/model_datasets/scores/pc/6000/score.json
is the score file generated during the training at epoch 6000 for data source s01-cb.
score.zip -
data/taheriyan2016/task_01/semantic_models/steiner/graph/s01-cb_steiner.json
is the beautified version of the initial semantic model file for s01-cb in task_01. -
data/taheriyan2016/task_01/semantic_models/plausibles/graph/s01-cb_graph.json
is the beautified version of weighted graph file including all plausible semantic models for s01-cb in task_01.
However, after more than 10 hours, there is still no expected output and the program keeps running:
data/pc/semantic_models/s01-cb_refined.graph
data/pc/semantic_models/s01-cb_refined_graph.json
At the same time, the content of the traversed_nodes.txt file is still increasing, and the size is about 250GB. I simply visualized s01-cb_graph.json, the beautified version of weighted graph file including all plausible semantic models for s01-cb in task_01 and found that the graph contains a large number of edges.
.
Therefore, I'm guessing if it's because the multi-edge weighted graph is too complicated. Maybe it's because of other reasons that the correct result is not generated, so I hope you can give me some guidance.
from semi.
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from semi.