@inproceedings{liu-etal-2019-neural-based,
    title = "Neural-based {C}hinese Idiom Recommendation for Enhancing Elegance in Essay Writing",
    author = "Liu, Yuanchao  and
      Pang, Bo  and
      Liu, Bingquan",
    editor = "Korhonen, Anna  and
      Traum, David  and
      M{\`a}rquez, Llu{\'i}s",
    booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/P19-1552/",
    doi = "10.18653/v1/P19-1552",
    pages = "5522--5526",
    abstract = "Although the proper use of idioms can enhance the elegance of writing, the active use of various expressions is a challenge because remembering idioms is difficult. In this study, we address the problem of idiom recommendation by leveraging a neural machine translation framework, in which we suppose that idioms are written with one pseudo target language. Two types of real-life datasets are collected to support this study. Experimental results show that the proposed approach achieves promising performance compared with other baseline methods."
}