@inproceedings{evang-bos-2016-cross,
title = "Cross-lingual Learning of an Open-domain Semantic Parser",
author = "Evang, Kilian and
Bos, Johan",
editor = "Matsumoto, Yuji and
Prasad, Rashmi",
booktitle = "Proceedings of {COLING} 2016, the 26th International Conference on Computational Linguistics: Technical Papers",
month = dec,
year = "2016",
address = "Osaka, Japan",
publisher = "The COLING 2016 Organizing Committee",
url = "https://aclanthology.org/C16-1056/",
pages = "579--588",
abstract = "We propose a method for learning semantic CCG parsers by projecting annotations via a parallel corpus. The method opens an avenue towards cheaply creating multilingual semantic parsers mapping open-domain text to formal meaning representations. A first cross-lingually learned Dutch (from English) semantic parser obtains f-scores ranging from 42.99{\%} to 69.22{\%} depending on the level of label informativity taken into account, compared to 58.40{\%} to 78.88{\%} for the underlying source-language system. These are promising numbers compared to state-of-the-art semantic parsing in open domains."
}
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%0 Conference Proceedings
%T Cross-lingual Learning of an Open-domain Semantic Parser
%A Evang, Kilian
%A Bos, Johan
%Y Matsumoto, Yuji
%Y Prasad, Rashmi
%S Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F evang-bos-2016-cross
%X We propose a method for learning semantic CCG parsers by projecting annotations via a parallel corpus. The method opens an avenue towards cheaply creating multilingual semantic parsers mapping open-domain text to formal meaning representations. A first cross-lingually learned Dutch (from English) semantic parser obtains f-scores ranging from 42.99% to 69.22% depending on the level of label informativity taken into account, compared to 58.40% to 78.88% for the underlying source-language system. These are promising numbers compared to state-of-the-art semantic parsing in open domains.
%U https://aclanthology.org/C16-1056/
%P 579-588
Markdown (Informal)
[Cross-lingual Learning of an Open-domain Semantic Parser](https://aclanthology.org/C16-1056/) (Evang & Bos, COLING 2016)
ACL