Cargando…
Fusing Part-of-Speech Information in Low-Resource Neural Paraphrase Generation
Paraphrase generation is an essential yet challenging task in natural language processing. Neural-network-based approaches towards paraphrase generation have achieved remarkable success in recent years. Previous neural paraphrase generation approaches ignore linguistic knowledge, such as part-of-spe...
Autores principales: | Chi, Xiaoqiang, Xiang, Yang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545583/ https://www.ncbi.nlm.nih.gov/pubmed/34707653 http://dx.doi.org/10.1155/2021/9022193 |
Ejemplares similares
-
Augmenting Paraphrase Generation with Syntax Information Using Graph Convolutional Networks
por: Chi, Xiaoqiang, et al.
Publicado: (2021) -
An Empirical Evaluation of Attention and Pointer Networks for Paraphrase Generation
por: Gupta, Varun, et al.
Publicado: (2020) -
Enigma in paraphrasing Ayurvedic Grantha
por: Balasubramanian, Kanchipurum Sundaraman, et al.
Publicado: (2019) -
Improvement of Acoustic Models Fused with Lip Visual Information for Low-Resource Speech
por: Yu, Chongchong, et al.
Publicado: (2023) -
Pastiche, parodie et paraphrase : actes du 31e congrés /
Publicado: (1999)