Samenvatting
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 leftand right-sister-adjunction, present a neural architecture for the supertagger, and report experiments of n-best supertagging for French and German.
French Treebank, introduce the use of leftand right-sister-adjunction, present a neural architecture for the supertagger, and report experiments of n-best supertagging for French and German.
Originele taal-2 | English |
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Titel | Proceedings of ACL 2018, Student Research Workshop |
Redacteuren | Vered Shwartz, Jeniya Tabassum, Rob Voigt, Wanxiang Che, Marie-Catherine de Marneffe, Malvina Nissim |
Plaats van productie | Melbourne |
Uitgeverij | Association for Computational Linguistics (ACL) |
Aantal pagina's | 8 |
Status | Published - jul.-2018 |
Extern gepubliceerd | Ja |