Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension
Table 4: F1 score (%) of different algorithms on the TriviaQA dataset.
['Algorithms', 'F1']
Results. We filter a small number of questions whose answers cannot be extracted from documents and keep 7,251 questions from a total of 7,993 questions. Compared with BERT-Large, the BERT-RCM model achieves 1.6% gain with gated recurrence and 1% gain with LSTM recurrence. Also, both BERT-RCM and BERT-Large models beat the Sent-Selector model.