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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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Detalles Bibliográficos
Autores principales: Ishigaki, Tatsuya, Huang, Hen-Hsen, Takamura, Hiroya, Chen, Hsin-Hsi, Okumura, Manabu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148071/
http://dx.doi.org/10.1007/978-3-030-45442-5_22