@inproceedings{kim-etal-2021-transition,
    title = "A Transition-based Parser for Unscoped Episodic Logical Forms",
    author = "Kim, Gene  and
      Duong, Viet  and
      Lu, Xin  and
      Schubert, Lenhart",
    editor = "Zarrie{\ss}, Sina  and
      Bos, Johan  and
      van Noord, Rik  and
      Abzianidze, Lasha",
    booktitle = "Proceedings of the 14th International Conference on Computational Semantics (IWCS)",
    month = jun,
    year = "2021",
    address = "Groningen, The Netherlands (online)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2021.iwcs-1.18/",
    pages = "184--201",
    abstract = "``Episodic Logic: Unscoped Logical Form'' (EL-ULF) is a semantic representation capturing predicate-argument structure as well as more challenging aspects of language within the Episodic Logic formalism. We present the first learned approach for parsing sentences into ULFs, using a growing set of annotated examples. The results provide a strong baseline for future improvement. Our method learns a sequence-to-sequence model for predicting the transition action sequence within a modified cache transition system. We evaluate the efficacy of type grammar-based constraints, a word-to-symbol lexicon, and transition system state features in this task. Our system is available at \url{https://github.com/genelkim/ulf-transition-parser}. We also present the first official annotated ULF dataset at \url{https://www.cs.rochester.edu/u/gkim21/ulf/resources/}."
}