The fact that meaning representations do not naturally conform to a lin-ear ordering has also prompted efforts to develop recurrent neural network architectures tailored to tree or graph-structured decoding (Dong and Lapata, 2016;Cheng et al., 2017;Yin and Neubig, 2017;Alvarez-Melis and Jaakkola, 2017;Rabinovich et al., 2017;Buys and Blunsom, 2017) Most previous work focuses on building semantic parsers for question answering tasks, such as querying a database to retrieve an answer (Zelle and Mooney, 1996;Cheng et al., 2017), or conversing with a flight booking system (Dahl et al., 1994).
parsers trained on query-based datasets work on restricted domains (e.g., restaurants, meetings; Wang et al.