metadata
title: News Summarizer and NER
emoji: 🌍
colorFrom: blue
colorTo: green
sdk: docker
pinned: false
license: mit
New Summarization and NER
News summarization uses "facebook/bart-base" that is fine-tuned using TensorFlow for summarization using
CNN news articles dataset.
NER uses "microsoft/deberta-base" that is fine-tuned using TensorFlow for token classification (NER) using this
dataset.
The fine-tuning dataset contains annotated sentences.
During inference, the input text is split into sentences using Spacy and entities are identified in each sentence.
The notebook to fine-tune "facebook/bart-base" for news summarization can be found here.
The notebook to fine-tune "microsoft/deberta-base" for NER can be found here.