I have scrapped few news articles that talk about not very famous personalities.
The task is to extract structured information out of these articles. The structured information is as follows:
- Get NER tags for PER, ORG and GPE
- Find Relationship among PER, ORG and GPE
The first task is quite easy. I have achieved that thanks to spaCy .
The second part of the problem is a bit tricky. I can do RE for a sentence which is not very complex using dependency parsing but for complex sentences and in an article that contains so many sentences doing same (RE) is not that easy .
Could you guys share me your industrial experience and guide me a little bit.
Thank you so much for your time.