@article{TACL646,
        author = {Berant, Jonathan  and Liang, Percy },
        title = {Imitation Learning of Agenda-based Semantic Parsers},
        journal = {Transactions of the Association for Computational Linguistics},
        volume = {3},
        year = {2015},
        keywords = {},
        abstract = {Semantic parsers conventionally construct logical forms
bottom-up in a fixed order, resulting in the generation of many extraneous
partial logical forms. In this paper, we combine ideas from imitation
learning and agenda-based parsing to train a semantic parser that searches
partial logical forms in a more strategic order. Empirically, our parser
reduces the number of constructed partial logical forms by an order of
magnitude, and obtains a 6x-9x speedup over fixed-order parsing, while
maintaining comparable accuracy. },
        issn = {2307-387X},
        url =
{https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/646},
        pages = {545--558}
}