@inproceedings{xuan-2020-improving,
    title = "Improving Sequence-to-Sequence Semantic Parser for Task Oriented Dialog",
    author = "Xuan, Chaoting",
    editor = "Bogin, Ben  and
      Iyer, Srinivasan  and
      Lin, Xi Victoria  and
      Radev, Dragomir  and
      Suhr, Alane  and
      Panupong  and
      Xiong, Caiming  and
      Yin, Pengcheng  and
      Yu, Tao  and
      Zhang, Rui  and
      Zhong, Victor",
    booktitle = "Proceedings of the First Workshop on Interactive and Executable Semantic Parsing",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2020.intexsempar-1.3/",
    doi = "10.18653/v1/2020.intexsempar-1.3",
    pages = "18--22",
    abstract = "Task Oriented Parsing (TOP) attempts to map utterances to compositional requests, including multiple intents and their slots. Previous work focus on a tree-based hierarchical meaning representation, and applying constituency parsing techniques to address TOP. In this paper, we propose a new format of meaning representation that is more compact and amenable to sequence-to-sequence (seq-to-seq) models. A simple copy-augmented seq-to-seq parser is built and evaluated over a public TOP dataset, resulting in 3.44{\%} improvement over prior best seq-to-seq parser (exact match accuracy), which is also comparable to constituency parsers' performance."
}