Papers › Dynamic Coattention Networks For Question Answering
Dynamic Coattention Networks For Question Answering
Caiming Xiong, Victor Zhong, Richard Socher
Several deep learning models have been proposed for question answering. However, due to their single-pass nature, they have no way to recover from local maxima corresponding to incorrect answers. To address this problem, we introduce the Dynamic Coattention Network (DCN) for question answering. The DCN first fuses co-dependent representations of the question and the document in order to focus on relevant parts of both. Then a dynamic pointing decoder iterates over potential answer spans. This iterative procedure enables the model to recover from initial local maxima corresponding to incorrect answers. On the Stanford question answering dataset, a single DCN model improves the previous state of the art from 71.0% F1 to 75.9%, while a DCN ensemble obtains 80.4% F1.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Open-Domain Question Answering | SQuAD1.1 | DCN | EM | 66.2 | #2 of 3 | Archive leaderboard | report |
| Question Answering | SQuAD1.1 | Dynamic Coattention Networks (ensemble) | EM | 71.625 | #148 of 213 | Archive leaderboard | report |
| Question Answering | SQuAD1.1 | Dynamic Coattention Networks (ensemble) | F1 | 80.383 | #148 of 213 | Archive leaderboard | report |
| Question Answering | SQuAD1.1 | Dynamic Coattention Networks (single model) | EM | 66.233 | #178 of 213 | Archive leaderboard | report |
| Question Answering | SQuAD1.1 | Dynamic Coattention Networks (single model) | F1 | 75.896 | #178 of 213 | Archive leaderboard | report |
| Question Answering | SQuAD1.1 dev | DCN | EM | 65.4 | #45 of 55 | Archive leaderboard | report |
| Question Answering | SQuAD1.1 dev | DCN | F1 | 75.6 | #45 of 55 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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