Entity Extraction Using BERT
Extract different entities present in a sentence.
- End to End NLP Entity Extraction project.
- The Kaggle dataset can be found Here Click Here
Steps to run the project Click Here
Dataset Description
Context: Annotated Corpus for Named Entity Recognition using GMB(Groningen Meaning Bank) corpus for entity classification with enhanced and popular features by Natural Language Processing applied to the data set.
Essential info about entities:
- geo = Geographical Entity
- org = Organization
- per = Person
- gpe = Geopolitical Entity
- tim = Time indicator
- art = Artifact
- eve = Event
- nat = Natural Phenomenon
Goal
The Goal is to create a model which correctly identifies and extracts the above mentioned entities from a given sentence.
Following are the screenshots for the output, and the request.
- Request sample
- Response Sample
