@inproceedings{bladier-etal-2018-german,
title = "{G}erman and {F}rench Neural Supertagging Experiments for {LTAG} Parsing",
author = "Bladier, Tatiana and
van Cranenburgh, Andreas and
Samih, Younes and
Kallmeyer, Laura",
editor = "Shwartz, Vered and
Tabassum, Jeniya and
Voigt, Rob and
Che, Wanxiang and
de Marneffe, Marie-Catherine and
Nissim, Malvina",
booktitle = "Proceedings of {ACL} 2018, Student Research Workshop",
month = jul,
year = "2018",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P18-3009",
doi = "10.18653/v1/P18-3009",
pages = "59--66",
abstract = "We present ongoing work on data-driven parsing of German and French with Lexicalized Tree Adjoining Grammars. We use a supertagging approach combined with deep learning. We show the challenges of extracting LTAG supertags from the French Treebank, introduce the use of left- and right-sister-adjunction, present a neural architecture for the supertagger, and report experiments of n-best supertagging for French and German.",
}
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<abstract>We present ongoing work on data-driven parsing of German and French with Lexicalized Tree Adjoining Grammars. We use a supertagging approach combined with deep learning. We show the challenges of extracting LTAG supertags from the French Treebank, introduce the use of left- and right-sister-adjunction, present a neural architecture for the supertagger, and report experiments of n-best supertagging for French and German.</abstract>
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%0 Conference Proceedings
%T German and French Neural Supertagging Experiments for LTAG Parsing
%A Bladier, Tatiana
%A van Cranenburgh, Andreas
%A Samih, Younes
%A Kallmeyer, Laura
%Y Shwartz, Vered
%Y Tabassum, Jeniya
%Y Voigt, Rob
%Y Che, Wanxiang
%Y de Marneffe, Marie-Catherine
%Y Nissim, Malvina
%S Proceedings of ACL 2018, Student Research Workshop
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F bladier-etal-2018-german
%X We present ongoing work on data-driven parsing of German and French with Lexicalized Tree Adjoining Grammars. We use a supertagging approach combined with deep learning. We show the challenges of extracting LTAG supertags from the French Treebank, introduce the use of left- and right-sister-adjunction, present a neural architecture for the supertagger, and report experiments of n-best supertagging for French and German.
%R 10.18653/v1/P18-3009
%U https://aclanthology.org/P18-3009
%U https://doi.org/10.18653/v1/P18-3009
%P 59-66
Markdown (Informal)
[German and French Neural Supertagging Experiments for LTAG Parsing](https://aclanthology.org/P18-3009) (Bladier et al., ACL 2018)
ACL