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        <title>Universal Stanford dependencies: A cross-linguistic typology</title>
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        <namePart type="given">Marie-Catherine</namePart>
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    <name type="personal">
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        <namePart type="given">Katri</namePart>
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    <abstract>Revisiting the now de facto standard Stanford dependency representation, we propose an improved taxonomy to capture grammatical relations across languages, including morphologically rich ones. We suggest a two-layered taxonomy: a set of broadly attested universal grammatical relations, to which language-specific relations can be added. We emphasize the lexicalist stance of the Stanford Dependencies, which leads to a particular, partially new treatment of compounding, prepositions, and morphology. We show how existing dependency schemes for several languages map onto the universal taxonomy proposed here and close with consideration of practical implications of dependency representation choices for NLP applications, in particular parsing.</abstract>
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%0 Conference Proceedings
%T Universal Stanford dependencies: A cross-linguistic typology
%A de Marneffe, Marie-Catherine
%A Dozat, Timothy
%A Silveira, Natalia
%A Haverinen, Katri
%A Ginter, Filip
%A Nivre, Joakim
%A Manning, Christopher D.
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 may
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F de-marneffe-etal-2014-universal
%X Revisiting the now de facto standard Stanford dependency representation, we propose an improved taxonomy to capture grammatical relations across languages, including morphologically rich ones. We suggest a two-layered taxonomy: a set of broadly attested universal grammatical relations, to which language-specific relations can be added. We emphasize the lexicalist stance of the Stanford Dependencies, which leads to a particular, partially new treatment of compounding, prepositions, and morphology. We show how existing dependency schemes for several languages map onto the universal taxonomy proposed here and close with consideration of practical implications of dependency representation choices for NLP applications, in particular parsing.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/1062_Paper.pdf
%P 4585-4592

Markdown (Informal)

[Universal Stanford dependencies: A cross-linguistic typology](http://www.lrec-conf.org/proceedings/lrec2014/pdf/1062_Paper.pdf) (de Marneffe et al., LREC 2014)

• Universal Stanford dependencies: A cross-linguistic typology (de Marneffe et al., LREC 2014)

ACL

• Marie-Catherine de Marneffe, Timothy Dozat, Natalia Silveira, Katri Haverinen, Filip Ginter, Joakim Nivre, and Christopher D. Manning. 2014. Universal Stanford dependencies: A cross-linguistic typology. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4585–4592, Reykjavik, Iceland. European Language Resources Association (ELRA).