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dataset for Detecting and Explaining Causes From Text For a Time Series Event, EMNLP'17

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time-series explanation causal-explanation natural-language-generation natural-language-processing causality granger-causality

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cgraph's Issues

Latest Research

Hi this is great, could you perhaps point me to the latest research on this topic, would love to investigate it further.

Code

I read your work and am interested in reviewing your results.
Will you share the codes used for the paper?

Statistics on CGraph

I am after of a few statistics to understand the graph structure of the knowledge graph in CGraph.
Some I found from your paper. I was wondering if you already have the remaining ones (or if there is an easy way to compute them)

Number of nodes: 5,623,924
Number of edges: 5,025,636
Average node degree: 5,025,636 / (2 x 5,623,924) = 0.44
Avg in-degree
Avg out-degree
Max in-degree
Max out-degree
Length of the longest path
The average length of paths
The median length of paths

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