@inproceedings{sas-etal-2020-wikibank,
title = "{W}iki{B}ank: Using {W}ikidata to Improve Multilingual Frame-Semantic Parsing",
author = "Sas, Cezar and
Beloucif, Meriem and
S{\o}gaard, Anders",
booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.515",
pages = "4183--4189",
abstract = "Frame-semantic annotations exist for a tiny fraction of the world{'}s languages, Wikidata, however, links knowledge base triples to texts in many languages, providing a common, distant supervision signal for semantic parsers. We present WikiBank, a multilingual resource of partial semantic structures that can be used to extend pre-existing resources rather than creating new man-made resources from scratch. We also integrate this form of supervision into an off-the-shelf frame-semantic parser and allow cross-lingual transfer. Using Google{'}s Sling architecture, we show significant improvements on the English and Spanish CoNLL 2009 datasets, whether training on the full available datasets or small subsamples thereof.",
language = "English",
ISBN = "979-10-95546-34-4",
}
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<abstract>Frame-semantic annotations exist for a tiny fraction of the world’s languages, Wikidata, however, links knowledge base triples to texts in many languages, providing a common, distant supervision signal for semantic parsers. We present WikiBank, a multilingual resource of partial semantic structures that can be used to extend pre-existing resources rather than creating new man-made resources from scratch. We also integrate this form of supervision into an off-the-shelf frame-semantic parser and allow cross-lingual transfer. Using Google’s Sling architecture, we show significant improvements on the English and Spanish CoNLL 2009 datasets, whether training on the full available datasets or small subsamples thereof.</abstract>
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%0 Conference Proceedings
%T WikiBank: Using Wikidata to Improve Multilingual Frame-Semantic Parsing
%A Sas, Cezar
%A Beloucif, Meriem
%A Søgaard, Anders
%S Proceedings of the Twelfth Language Resources and Evaluation Conference
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F sas-etal-2020-wikibank
%X Frame-semantic annotations exist for a tiny fraction of the world’s languages, Wikidata, however, links knowledge base triples to texts in many languages, providing a common, distant supervision signal for semantic parsers. We present WikiBank, a multilingual resource of partial semantic structures that can be used to extend pre-existing resources rather than creating new man-made resources from scratch. We also integrate this form of supervision into an off-the-shelf frame-semantic parser and allow cross-lingual transfer. Using Google’s Sling architecture, we show significant improvements on the English and Spanish CoNLL 2009 datasets, whether training on the full available datasets or small subsamples thereof.
%U https://aclanthology.org/2020.lrec-1.515
%P 4183-4189
Markdown (Informal)
[WikiBank: Using Wikidata to Improve Multilingual Frame-Semantic Parsing](https://aclanthology.org/2020.lrec-1.515) (Sas et al., LREC 2020)
ACL