Ggtcf

I have three lists that contain the following data:

Entities: ['Ashraf', 'Afghanistan', 'Afghanistan', 'Kabul']
Relations: ['Born', 'President', 'employee', 'Capital', 'Located', 'Lecturer', 'University']
sentence_list: ['Ashraf','Born', 'in', 'Kabul', '.' 'Ashraf', 'is', 'the', 'president', 'of', 'Afghanistan', '.', ...]

As the sentence_list is a list of sentences. In each sentence, I want to check if any word of Entities and Relations, the combination of specific words should be added in another list. such as, (Ashraf, born, Kabul) in the first sentence.

What I did:

First incomplete Solution:

# read file
with open('../data/parse.txt', 'r') as myfile:
 json_data = json.load(myfile)

for i in range(len(json_data)): # the dataset was in json format
 if json_data[i]['word'] in relation(json_data)[0]: # I extract the relations
 print(json_data[i]['word'])
 if json_data[i]['word'] in entities(json_data)[0]:
 print(json[i]['word'])

The output: (Ashraf, Born, Ashraf), where I want (Ashraf, Born, Kabul)

The next incomplete solution: I stored json_data to a list and then I did this:

json_data2 = []
for i in range(len(json_data)):
 json2_data.append(json_data[i]['word'])
print(json_data2)


'''
Now I tried if I can find any element of `Entities` list and `Relations` list
in each sentence of `sentence_list`. And then it should store matched 
entities and relations based on sentence to a list. '''

for line in json_data2:
 for rel in relation(obj):
 for ent in entities(obj):
 match = re.findall(rel, line['word'])
 if match:
 print('word matched relations: %s ==> word: %s' % (rel, line['address']))
 match2 = re.findall(ent, line['word'])
 if match2:
 print('word matched entities: %s ==> word: %s' % (ent, line['address']))

Unfortunately, does not work?

You could use the following list comprehension:

to_match = set(Entities+Relations)
l = [j for j in to_match if j in i 
 for i in ' '.join(sentence_list).split('.')[:-1]]

Output

['Ashraf', 'Born', 'Kabul', 'Afghanistan', 'Ashraf']

Note that I'm, returning a list of sets to avoid duplicate values, given that for instance in Entities Afghanistan appears twice.

Useful reads:

• List comprehensions




• sets — Unordered collections of unique elements




• string methods