Papers with transfer learning technique
Supervised and Unsupervised Transfer Learning for Question Answering (N18-1)
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| Challenge: | Several QA scenarios and datasets have been introduced over the past few years. |
| Approach: | They conduct extensive experiments to investigate the transferability of knowledge from a source QA dataset to a target dataset using two QA models. |
| Outcome: | The proposed model outperforms the previous best model on TOEFL listening comprehension test by 7% on target datasets. |
A Gated Self-attention Memory Network for Answer Selection (D19-1)
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| Challenge: | Existing deep learning approaches for answer selection use word-level comparison followed by aggregation. |
| Approach: | They propose a new gated self-attention memory network for answer selection task . they combine a transfer learning technique from a large-scale online corpus to create a gated network . |
| Outcome: | The proposed model outperforms existing methods on two standard answer selection datasets: TrecQA and WikiQA. |