Abstract
As a subtask of lexical substitution, lexical simplification aims to provide simplified words with the same semantic meaning in context. Focusing on the task, this paper proposes a new method based on a hybrid ranking strategy. The method consists of three parts including 1) substitution generation leveraging semantic dictionaries, 2) substitution selection utilizing part-of-speech tagging and word stemming, and 3) substitution ranking based on a hybrid approach. Through the evaluation on standard datasets, our method outperforms state-of-the-art baselines including Word2vec and Four-step method, indicating its effectiveness in lexical simplification.
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Acknowledgements
This work was supported by National Natural Science Foundation of China (No. 61772146), Natural Science Foundation of Guangdong Province (2018A030310051), and the Katie Shu Sui Pui Charitable Trust—Research and Publication Fund (KS 2018/2.8).
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Song, J., Hu, J., Wong, LP., Lee, LK., Hao, T. (2020). A New Context-Aware Method Based on Hybrid Ranking for Community-Oriented Lexical Simplification. In: Nah, Y., Kim, C., Kim, SY., Moon, YS., Whang, S.E. (eds) Database Systems for Advanced Applications. DASFAA 2020 International Workshops. DASFAA 2020. Lecture Notes in Computer Science(), vol 12115. Springer, Cham. https://doi.org/10.1007/978-3-030-59413-8_7
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