Lexical simplification via single-word generation

Jipeng QIANG , Yang LI , Yun LI , Yunhao YUAN , Yi ZHU

Front. Comput. Sci. ›› 2023, Vol. 17 ›› Issue (6) : 176347

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Front. Comput. Sci. ›› 2023, Vol. 17 ›› Issue (6) : 176347 DOI: 10.1007/s11704-023-2744-2
Artificial Intelligence
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Lexical simplification via single-word generation

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Jipeng QIANG, Yang LI, Yun LI, Yunhao YUAN, Yi ZHU. Lexical simplification via single-word generation. Front. Comput. Sci., 2023, 17(6): 176347 DOI:10.1007/s11704-023-2744-2

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References

[1]

Devlin S, Tait J . The use of a psycholinguistic database in the simpli cation of text for aphasic readers. Linguistic Databases, 1998, 1: 161–173

[2]

Paetzold G H, Specia L. Unsupervised lexical simplification for non-native speakers. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence. 2016, 3761–3767

[3]

Qiang J, Li Y, Zhu Y, Yuan Y, Wu X. Lexical simplification with pretrained encoders. In: Proceedings of the 34th AAAI Conference on Artificial Intelligence. 2020, 8649–8656

[4]

Qiang J, Li Y, Zhu Y, Yuan Y, Shi Y, Wu X . LSBert: lexical simplification based on BERT. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2021, 29: 3064–3076

[5]

Devlin J, Chang M W, Lee K, Toutanova K. BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2019, 4171–4186

[6]

Yuan W, Neubig G, Liu P. BARTScore: evaluating generated text as text generation. In: Proceedings of the 35th Conference on Neural Information Processing Systems. 2021, 27263–27277

[7]

Hu J E, Singh A, Holzenberger N, Post M, Van Durme B. Large-scale, diverse, paraphrastic bitexts via sampling and clustering. In: Proceedings of the 23rd Conference on Computational Natural Language Learning. 2019, 44–54

[8]

Qian L, Zhou H, Bao Y, Wang M, Qiu L, Zhang W, Yu Y, Li L. Glancing transformer for non-autoregressive neural machine translation. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing. 2021, 1993–2003

[9]

Wei B, Wang M, Zhou H, Lin J, Xie J, Sun X. Imitation learning for non-autoregressive neural machine translation. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. 2019, 1304–1312

[10]

Glavaš G, Štajner S. Simplifying lexical simplification: do we need simplified corpora? In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing. 2015, 63–68

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