@inproceedings{liao-xie-2017-statistical,
    title = "A Statistical Machine Translation Model with Forest-to-Tree Algorithm for Semantic Parsing",
    author = "Liao, Zhihua  and
      Xie, Yan",
    editor = "Mitkov, Ruslan  and
      Angelova, Galia",
    booktitle = "Proceedings of the International Conference Recent Advances in Natural Language Processing, {RANLP} 2017",
    month = sep,
    year = "2017",
    address = "Varna, Bulgaria",
    publisher = "INCOMA Ltd.",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/R17-1059/",
    doi = "10.26615/978-954-452-049-6_059",
    pages = "446--451",
    abstract = "In this paper, we propose a novel supervised model for parsing natural language sentences into their formal semantic representations. This model treats sentence-to-lambda-logical expression conversion within the framework of the statistical machine translation with forest-to-tree algorithm. To make this work, we transform the lambda-logical expression structure into a form suitable for the mechanics of statistical machine translation and useful for modeling. We show that our model is able to yield new state-of-the-art results on both standard datasets with simple features."
}