Topic: triviaqa Goto Github
Some thing interesting about triviaqa
Some thing interesting about triviaqa
triviaqa,Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)
User: devsinghsachan
triviaqa,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)
User: giannhskp
triviaqa,Code for the TriviaQA reading comprehension dataset
User: mandarjoshi90
Home Page: http://nlp.cs.washington.edu/triviaqa/
triviaqa,A project about fine-tuning bert-base-uncased model for reading comprehension tasks.
User: mediabilly
triviaqa,Author implementation of "Learning to Search in Long Documents Using Document Structure" (Mor Geva and Jonathan Berant, 2018)
User: mega002
triviaqa,Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)
User: sitaras
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