def main(number_of_synsets, vector_file_path, words_path):
print("Decoding illustration for: {}, {}, {}".format(number_of_synsets,
vector_file_path,
words_path))
w2vUtilities = Word2VecUtilities()
w2vUtilities.load_vectors_from(vector_file_path)
wnUtilities = WordnetUtilities(w2vUtilities)
decoding = Decoding(wnUtilities)
word_to_decoded_graph_dict = decoding.decode(number_of_synsets, words_path)
for word, decoded_graph in word_to_decoded_graph_dict.items():
baseline_graph = SGE.build_baseline_graph(word)
print("baseline for {}:\n{}".format(word, baseline_graph.display()))
gold_graph = SGE.build_gold_graph(word, wnUtilities)
print("gold_graph for {}:\n{}".format(word, gold_graph.display()))
print("decoded for {}:\n{}".format(word, decoded_graph.display()))
print(word_to_decoded_graph_dict)
def evaluate(self, number_of_synsets, word_to_decoded_graph_dict):
word_to_comparison_dict = dict()
category_results = dict()
for word, decoded_graph in word_to_decoded_graph_dict.items():
exps_dir_path = "../exps/{}-{}/".format(word, number_of_synsets)
results_dir_path = "../results/{}-{}/".format(word,
number_of_synsets)
self._create_dir_if_doesnt_exist(exps_dir_path)
self._create_dir_if_doesnt_exist(results_dir_path)
baseline_graph = SGE.build_baseline_graph(word)
baseline_graph.dump_to_file(exps_dir_path + "baseline.txt")
gold_graph = SGE.build_gold_graph(word, self.wnUtilities)
baseline_graph.dump_to_file(exps_dir_path + "gold.txt")
decoded_graph.dump_to_file(exps_dir_path + "decoded.txt")
comparison = SynsetGraphComarison(baseline_graph, decoded_graph,
gold_graph)
comparison.compare_using_all_methods()
comparison.dump_to_file(results_dir_path + "comparison.txt")
word_to_comparison_dict[word] = comparison
for category, result in comparison.results.items():
if category not in category_results:
category_results[category] = 0
category_results[category] += result
with open("../results/final-{}.txt".format(number_of_synsets),
'w', encoding='utf8') as category_results_file:
for category, result in category_results.items():
category_results[category] = (result /
len(word_to_decoded_graph_dict))
category_results_file.write("{}: {}\n".
format(category,
category_results[category]))
return word_to_comparison_dict, category_results