@inproceedings{kovacs-etal-2019-bme,
title = "{BME}-{UW} at {SRST}-2019: Surface realization with Interpreted Regular Tree Grammars",
author = "Kov{\'a}cs, {\'A}d{\'a}m and
{\'A}cs, Evelin and
{\'A}cs, Judit and
Kornai, Andras and
Recski, G{\'a}bor",
editor = "Mille, Simon and
Belz, Anja and
Bohnet, Bernd and
Graham, Yvette and
Wanner, Leo",
booktitle = "Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR 2019)",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D19-6304",
doi = "10.18653/v1/D19-6304",
pages = "35--40",
abstract = "The Surface Realization Shared Task involves mapping Universal Dependency graphs to raw text, i.e. restoring word order and inflection from a graph of typed, directed dependencies between lemmas. Interpreted Regular Tree Grammars (IRTGs) encode the correspondence between generations in multiple algebras, and have previously been used for semantic parsing from raw text. Our system induces an IRTG for simultaneously building pairs of surface forms and UD graphs in the SRST training data, then prunes this grammar for each UD graph in the test data for efficient parsing and generation of the surface ordering of lemmas. For the inflection step we use a standard sequence-to-sequence model with a biLSTM encoder and an LSTM decoder with attention. Both components of our system are available on GitHub under an MIT license.",
}
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<abstract>The Surface Realization Shared Task involves mapping Universal Dependency graphs to raw text, i.e. restoring word order and inflection from a graph of typed, directed dependencies between lemmas. Interpreted Regular Tree Grammars (IRTGs) encode the correspondence between generations in multiple algebras, and have previously been used for semantic parsing from raw text. Our system induces an IRTG for simultaneously building pairs of surface forms and UD graphs in the SRST training data, then prunes this grammar for each UD graph in the test data for efficient parsing and generation of the surface ordering of lemmas. For the inflection step we use a standard sequence-to-sequence model with a biLSTM encoder and an LSTM decoder with attention. Both components of our system are available on GitHub under an MIT license.</abstract>
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%0 Conference Proceedings
%T BME-UW at SRST-2019: Surface realization with Interpreted Regular Tree Grammars
%A Kovács, Ádám
%A Ács, Evelin
%A Ács, Judit
%A Kornai, Andras
%A Recski, Gábor
%Y Mille, Simon
%Y Belz, Anja
%Y Bohnet, Bernd
%Y Graham, Yvette
%Y Wanner, Leo
%S Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR 2019)
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong, China
%F kovacs-etal-2019-bme
%X The Surface Realization Shared Task involves mapping Universal Dependency graphs to raw text, i.e. restoring word order and inflection from a graph of typed, directed dependencies between lemmas. Interpreted Regular Tree Grammars (IRTGs) encode the correspondence between generations in multiple algebras, and have previously been used for semantic parsing from raw text. Our system induces an IRTG for simultaneously building pairs of surface forms and UD graphs in the SRST training data, then prunes this grammar for each UD graph in the test data for efficient parsing and generation of the surface ordering of lemmas. For the inflection step we use a standard sequence-to-sequence model with a biLSTM encoder and an LSTM decoder with attention. Both components of our system are available on GitHub under an MIT license.
%R 10.18653/v1/D19-6304
%U https://aclanthology.org/D19-6304
%U https://doi.org/10.18653/v1/D19-6304
%P 35-40
Markdown (Informal)
[BME-UW at SRST-2019: Surface realization with Interpreted Regular Tree Grammars](https://aclanthology.org/D19-6304) (Kovács et al., 2019)
ACL