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Building a Discourse-Argument Hybrid System for Vietnamese Why-Question Answering
Recently, many deep learning models have archived high results in question answering task with overall F(1) scores above 0.88 on SQuAD datasets. However, many of these models have quite low F(1) scores on why-questions. These F(1) scores range from 0.57 to 0.7 on SQuAD v1.1 development set. This mea...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8727104/ https://www.ncbi.nlm.nih.gov/pubmed/34992649 http://dx.doi.org/10.1155/2021/6550871 |