@inproceedings{delecraz-etal-2017-correcting,
title = "Correcting prepositional phrase attachments using multimodal corpora",
author = "Delecraz, Sebastien and
Nasr, Alexis and
Bechet, Frederic and
Favre, Benoit",
editor = "Miyao, Yusuke and
Sagae, Kenji",
booktitle = "Proceedings of the 15th International Conference on Parsing Technologies",
month = sep,
year = "2017",
address = "Pisa, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-6311",
pages = "72--77",
abstract = "PP-attachments are an important source of errors in parsing natural language. We propose in this article to use data coming from a multimodal corpus, combining textual, visual and conceptual information, as well as a correction strategy, to propose alternative attachments in the output of a parser.",
}
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%0 Conference Proceedings
%T Correcting prepositional phrase attachments using multimodal corpora
%A Delecraz, Sebastien
%A Nasr, Alexis
%A Bechet, Frederic
%A Favre, Benoit
%Y Miyao, Yusuke
%Y Sagae, Kenji
%S Proceedings of the 15th International Conference on Parsing Technologies
%D 2017
%8 September
%I Association for Computational Linguistics
%C Pisa, Italy
%F delecraz-etal-2017-correcting
%X PP-attachments are an important source of errors in parsing natural language. We propose in this article to use data coming from a multimodal corpus, combining textual, visual and conceptual information, as well as a correction strategy, to propose alternative attachments in the output of a parser.
%U https://aclanthology.org/W17-6311
%P 72-77
Markdown (Informal)
[Correcting prepositional phrase attachments using multimodal corpora](https://aclanthology.org/W17-6311) (Delecraz et al., IWPT 2017)
ACL