Please fill the code below # your implementation

In [1]: # import all packages import nltk from nltk import word_tokenize, pos_tag, ne_chunk from nltk import Tree II II II raw = In [2]: # Tokenize sentence: """John was born in Liverpool, to Julia and Alfred Lennon" tokens = word_tokenize(raw) tokens Exercise 1 Extract all named entities as well as its type/label In [7]: # Exercisei, define a function to extract all named enties together with Labels def get_labeled_chunks (text): # your implementation return label_entities get_labeled_chunks (raw) Out[7]: {'John': 'PERSON', 'Liverpool': 'GPE', 'Julia': 'GPE', 'Alfred Lennon': 'PERSON'}