giannhskp / Artificial-Intelligence-II_Natural-Language-Processing

Sentiment Classifier using: Softmax-Regression, Feed-Forward Neural Network, Bidirectional stacked LSTM/GRU Recursive Neural Network, fine-tuning on BERT pre-trained model. Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)

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Artificial Intelligence II - Natural Language Processing

Projects implemented for the class Artificial Intelligence II (ΥΣ19)

Semester: Winter 2021/22

Sentiment Classifier using:

  • Softmax-Regression (Project1)
  • Feed-Forward Neural Network (Project2)
  • Bidirectional stacked LSTM/GRU Recursive Neural Network (Project3)
  • Fine-tuning on BERT pre-trained model (Project4)

Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC) (Project4)

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Sentiment Classifier using: Softmax-Regression, Feed-Forward Neural Network, Bidirectional stacked LSTM/GRU Recursive Neural Network, fine-tuning on BERT pre-trained model. Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)

License:MIT License


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