nlp_ie_19.py

# create a df containing sentence and its output for rule 1
row_list = []

for i in range(len(df3)):
    
    sent = df3.loc[i,'Sent']
    year = df3.loc[i,'Year']
    output = rule1(sent)
    dict1 = {'Year':year,'Sent':sent,'Output':output}
    row_list.append(dict1)
    
df_rule1 = pd.DataFrame(row_list)

# rule 1 achieves 20% result on simple sentences
output_per(df_rule1,'Output')