Papers by Ngo Xuan Bach
Answering Legal Questions by Learning Neural Attentive Text Representation (2020.coling-main)
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| Challenge: | Existing methods for retrieval-based question answering are limited by legal documents and long and complicated documents. |
| Approach: | They propose a retrieval-based model for answering legal questions at the article level by learning neural attentive text representation. |
| Outcome: | The proposed model outperforms state-of-the-art retrieval-based methods on an annotated corpus of 5,922 Vietnamese legal questions in terms of recall and NDCG. |