nedfal / document-and-token-classification

NLP course, CE Dept. Sharif University of Technology

Document Classification and Token Classification

Sharif University of Technology
CE Dept.
NLP Course
Dr. E. Asgari

Students' names :

Amirahmad Shafiee
Ali Shafiei
Neda Fallah

This repo consists of two parts :
1. Document Classification:

Sentiment Analysis task
base-model : SVM on TF-IDF vectors
main-model : ParseBert
dataset : SentiPers(Persian dataset for multioutput polarity classification)
We benchmarked the model results and it happened to be 0.3 points of accuracy(on a scale of 1-100) behind the top benchmark.

2. Token Classification:

Question answering task
main-model :
base-model : bidirectional GRU
dataset :

Tags:

• BERT
• Transformers
• Generation
• Sentiment Analysis
• Question Answering
• Recurrent neural networks, bidirectional GRU
• Classic ML