Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts (P19-1)
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| Challenge: | Existing why-QA methods retrieve “answer passages” that consist of several sentences . AGR is a vector representation of the non-redundant reason sought by a why-question . |
| Approach: | They propose a method for why-question answering that uses an adversarial learning framework. |
| Outcome: | The proposed method improves state-of-the-art open-domain QA on Japanese datasets . it also improves a state- of-the art method on publicly available English datasets. |
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