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        <title>Imitation Learning of Agenda-based Semantic Parsers</title>
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    <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.</abstract>
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    <identifier type="doi">10.1162/tacl_a_00157</identifier>
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%0 Journal Article
%T Imitation Learning of Agenda-based Semantic Parsers
%A Berant, Jonathan
%A Liang, Percy
%J Transactions of the Association for Computational Linguistics
%D 2015
%V 3
%I MIT Press
%C Cambridge, MA
%F berant-liang-2015-imitation
%X 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.
%R 10.1162/tacl_a_00157
%U https://aclanthology.org/Q15-1039/
%U https://doi.org/10.1162/tacl_a_00157
%P 545-558

Markdown (Informal)

[Imitation Learning of Agenda-based Semantic Parsers](https://aclanthology.org/Q15-1039/) (Berant & Liang, TACL 2015)

• Imitation Learning of Agenda-based Semantic Parsers (Berant & Liang, TACL 2015)

ACL

• Jonathan Berant and Percy Liang. 2015. Imitation Learning of Agenda-based Semantic Parsers. Transactions of the Association for Computational Linguistics, 3:545–558.