87 lines
3.2 KiB
Python
87 lines
3.2 KiB
Python
|
import pandas as pd
|
||
|
|
|
||
|
|
|
||
|
|
def correct_labels(input_file, output_file):
|
||
|
|
df = pd.read_csv(input_file, sep="\t", names=["Text"])
|
||
|
|
|
||
|
|
corrected_lines = []
|
||
|
|
|
||
|
|
for line in df["Text"]:
|
||
|
|
tokens = line.split(" ")
|
||
|
|
corrected_tokens = []
|
||
|
|
|
||
|
|
previous_token = "O"
|
||
|
|
token = tokens[0]
|
||
|
|
|
||
|
|
for t in range(len(tokens)):
|
||
|
|
if t + 1 < len(tokens):
|
||
|
|
next_token = tokens[t + 1]
|
||
|
|
else:
|
||
|
|
next_token = "O"
|
||
|
|
|
||
|
|
if token == "I-ORG" and previous_token != "B-ORG" and previous_token != "I-ORG":
|
||
|
|
if next_token == "I-ORG":
|
||
|
|
corrected_token = "B-ORG"
|
||
|
|
elif previous_token == "B-PER":
|
||
|
|
corrected_token = "I-PER"
|
||
|
|
elif previous_token == "B-LOC":
|
||
|
|
corrected_token = "I-LOC"
|
||
|
|
elif previous_token == "B-MISC":
|
||
|
|
corrected_token = "I-MISC"
|
||
|
|
else:
|
||
|
|
corrected_token = "B-ORG"
|
||
|
|
elif token == "I-PER" and previous_token != "B-PER" and previous_token != "I-PER":
|
||
|
|
if next_token == "I-PER":
|
||
|
|
corrected_token = "B-PER"
|
||
|
|
elif previous_token == "B-ORG":
|
||
|
|
corrected_token = "I-ORG"
|
||
|
|
elif previous_token == "B-LOC":
|
||
|
|
corrected_token = "I-LOC"
|
||
|
|
elif previous_token == "B-MISC":
|
||
|
|
corrected_token = "I-MISC"
|
||
|
|
else:
|
||
|
|
corrected_token = "B-PER"
|
||
|
|
elif token == "I-LOC" and previous_token != "B-LOC" and previous_token != "I-LOC":
|
||
|
|
if next_token == "I-LOC":
|
||
|
|
corrected_token = "B-LOC"
|
||
|
|
elif previous_token == "B-ORG":
|
||
|
|
corrected_token = "I-ORG"
|
||
|
|
elif previous_token == "B-PER":
|
||
|
|
corrected_token = "I-PER"
|
||
|
|
elif previous_token == "B-MISC":
|
||
|
|
corrected_token = "I-MISC"
|
||
|
|
else:
|
||
|
|
corrected_token = "B-LOC"
|
||
|
|
elif token == "I-MISC" and previous_token != "B-MISC" and previous_token != "I-MISC":
|
||
|
|
if next_token == "I-MISC":
|
||
|
|
corrected_token = "B-MISC"
|
||
|
|
elif previous_token == "B-ORG":
|
||
|
|
corrected_token = "I-ORG"
|
||
|
|
elif previous_token == "B-PER":
|
||
|
|
corrected_token = "I-PER"
|
||
|
|
elif previous_token == "B-LOC":
|
||
|
|
corrected_token = "I-LOC"
|
||
|
|
else:
|
||
|
|
corrected_token = "B-MISC"
|
||
|
|
else:
|
||
|
|
corrected_token = token
|
||
|
|
|
||
|
|
corrected_tokens.append(corrected_token)
|
||
|
|
previous_token = corrected_token
|
||
|
|
token = next_token
|
||
|
|
|
||
|
|
corrected_line = " ".join(corrected_tokens)
|
||
|
|
corrected_lines.append(corrected_line)
|
||
|
|
|
||
|
|
df["Text"] = corrected_lines
|
||
|
|
df.to_csv(output_file, sep="\t", index=False, header=False)
|
||
|
|
|
||
|
|
|
||
|
|
input_file = "dev-0/out.tsv"
|
||
|
|
output_file = "dev-0/out_v2.tsv"
|
||
|
|
correct_labels(input_file, output_file)
|
||
|
|
|
||
|
|
input_file = "test-A/out.tsv"
|
||
|
|
output_file = "test-A/out_v2.tsv"
|
||
|
|
correct_labels(input_file, output_file)
|