Code for the TriviaQA reading comprehension dataset
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Apr 5, 2024 - Python
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triviaqa
Here are 6 public repositories matching this topic...
Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)
nlp natural-language-processing information-retrieval pytorch question-answering triviaqa natural-questions open-domain-qa webq open-domain-question-answering
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Apr 18, 2022 - Python
Author implementation of "Learning to Search in Long Documents Using Document Structure" (Mor Geva and Jonathan Berant, 2018)
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Jul 12, 2018 - Python
A project about fine-tuning bert-base-uncased model for reading comprehension tasks.
nlp machine-learning natural-language-processing deep-learning question-answering reading-comprehension bert newsqa triviaqa natural-questions squad-dataset quac-dataset
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Mar 22, 2022 - Jupyter Notebook
Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)
nlp natural-language-processing deep-learning question-answering reading-comprehension bert newsqa triviaqa maschine-learning natural-questions squad-dataset quac-dataset
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May 6, 2022 - Jupyter Notebook
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)
question-answering softmax-regression bert lstm-neural-networks newsqa sentiment-classification recursive-neural-networks triviaqa feed-forward-neural-networks bert-model natural-questions squad-dataset gru-neural-networks bert-fine-tuning quac-dataset
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Mar 24, 2022 - Jupyter Notebook
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