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born
obc2kg
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@@ -43,31 +43,16 @@ The file to interact with to generate knowledge graphs from the OBC is _main.py_
To re-create the sample knowledge graph for the year 1913, simply type:
python main.py -year 1913 -output_path "../output/example_graph_1913.json"
If you want to simplify text description nodes, you can set the flag "-text
\_
node
\_
simplification
\_
mode":
To display all available options, type:
python main.py -year 1913 -output_path "../output/example_graph_1913_simplified.json" -text_node_simplification_mode classifier
python main.py -h
For the classifier, the more years are used as training data, the better its simplification accuracy becomes.
\
You can add more years by simply adding years to the command:
This gives you:
usage: main.py [-h] [-year YEAR [YEAR ...]] [-output_path OUTPUT_PATH]
[-text_node_simplification_mode {None,classifier,spacy_direct_object}]
[-verbose {0,1,2}]
[-prune_text_nodes_min_freq PRUNE_TEXT_NODES_MIN_FREQ]
Building a graph from old bailey corpus.
optional arguments:
-h, --help show this help message and exit
-year YEAR [YEAR ...]
what year(s) the graph should cover, leave empty to
cover all available years
-output_path OUTPUT_PATH
where to save output graph
-text_node_simplification_mode {None,classifier,spacy_direct_object}
simplify text nodes, e.g.: "murder of x , on the
Monday of(...)" --> "murder"
-verbose {0,1,2} logging level
-prune_text_nodes_min_freq PRUNE_TEXT_NODES_MIN_FREQ
how often a text description node has to occur to be
included in the graph
python main.py -year 1820 1821 1822 -output_path "../output/example_graph_1820-1822.json"
To display all available options, type:
python main.py -h
\ No newline at end of file
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