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pr_class.py
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pr_class.py
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import sys
def chunk(tags):
chunks = []
i = 0
while i < len(tags):
start = i
end = start + 1
if tags[i].startswith('B') and i+1 < len(tags):
tag = tags[start][-3:]
while tags[end] == "I-" + tag:
end += 1
if tags[end] == "E-" + tag:
chunks.append((tag, start, end))
i = end
elif tags[i].startswith('S'):
tag = tags[i][-3:]
chunks.append((tag, i, i))
i += 1
return set(chunks)
if __name__ == '__main__':
with open(sys.argv[1]) as gold:
target = chunk([tag.strip() for tag in gold])
with open(sys.argv[2]) as guesses:
predicted = chunk([tag.strip() for tag in guesses])
for name_type in ['GEO', 'ORG', 'OTH', 'PRS']:
truth = {t for t in target if t[0] == name_type}
guess = {g for g in predicted if g[0] == name_type}
predict = len(guess)
total = len(truth)
correct = len(truth & guess)
precision = correct / predict
recall = correct / total
f1 = 2 * precision * recall / (precision + recall)
print(f"""{name_type}
Precision: {precision}
Recall: {recall}
F1: {f1}
""")