What sets the ROUGE score apart is its Python implementation. It empowers developers and researchers to calculate and interpret these scores with ease, making the process of gauging model performance both practical and effective.The ROUGE score remains at the heart of progress as NLP continues to ...
In the following two papers, it is shown that both to project all words of the context onto a continuous space and calculate the language model probability for the given context can be performed by a neural network using two hidden layers. Holger Schwenk and Jean-Luc Gauvain. Training Neural...
# Convert strings to lists of tokens references_tokenized =[ref.split()forrefinreferences] hypothesis_tokenized = hypothesis.split() # Calculate METEOR score with multiple references multi_ref_score =meteor_score(references_tokenized, hypothesis_tokenized) print("\nMultiple References Example:") print(...
# Convert strings to lists of tokens references_tokenized =[ref.split()forrefinreferences] hypothesis_tokenized = hypothesis.split() # Calculate METEOR score with multiple references multi_ref_score =meteor_score(references_tokenized, hypothesis_tokenized) print("\nMultiple References Example:") print(...