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Neural Query-Biased Abstractive Summarization Using Copying Mechanism
This paper deals with the query-biased summarization task. Conventional non-neural network-based approaches have achieved better performance by primarily including the words overlapping between the source and the query in the summary. However, recurrent neural network (RNN)-based approaches do not e...
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| Publicado no: | Advances in Information Retrieval |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7148071/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-45442-5_22 |
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