Natalia Silveira


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Universal Dependencies v1: A Multilingual Treebank Collection
Joakim Nivre | Marie-Catherine de Marneffe | Filip Ginter | Yoav Goldberg | Jan Hajič | Christopher D. Manning | Ryan McDonald | Slav Petrov | Sampo Pyysalo | Natalia Silveira | Reut Tsarfaty | Daniel Zeman
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

Cross-linguistically consistent annotation is necessary for sound comparative evaluation and cross-lingual learning experiments. It is also useful for multilingual system development and comparative linguistic studies. Universal Dependencies is an open community effort to create cross-linguistically consistent treebank annotation for many languages within a dependency-based lexicalist framework. In this paper, we describe v1 of the universal guidelines, the underlying design principles, and the currently available treebanks for 33 languages.


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Does Universal Dependencies need a parsing representation? An investigation of English
Natalia Silveira | Christopher Manning
Proceedings of the Third International Conference on Dependency Linguistics (Depling 2015)


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Universal Stanford dependencies: A cross-linguistic typology
Marie-Catherine de Marneffe | Timothy Dozat | Natalia Silveira | Katri Haverinen | Filip Ginter | Joakim Nivre | Christopher D. Manning
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

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.

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A Gold Standard Dependency Corpus for English
Natalia Silveira | Timothy Dozat | Marie-Catherine de Marneffe | Samuel Bowman | Miriam Connor | John Bauer | Chris Manning
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

We present a gold standard annotation of syntactic dependencies in the English Web Treebank corpus using the Stanford Dependencies formalism. This resource addresses the lack of a gold standard dependency treebank for English, as well as the limited availability of gold standard syntactic annotations for English informal text genres. We also present experiments on the use of this resource, both for training dependency parsers and for evaluating the quality of different versions of the Stanford Parser, which includes a converter tool to produce dependency annotation from constituency trees. We show that training a dependency parser on a mix of newswire and web data leads to better performance on that type of data without hurting performance on newswire text, and therefore gold standard annotations for non-canonical text can be a valuable resource for parsing. Furthermore, the systematic annotation effort has informed both the SD formalism and its implementation in the Stanford Parser’s dependency converter. In response to the challenges encountered by annotators in the EWT corpus, the formalism has been revised and extended, and the converter has been improved.


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Feature-Rich Phrase-based Translation: Stanford University’s Submission to the WMT 2013 Translation Task
Spence Green | Daniel Cer | Kevin Reschke | Rob Voigt | John Bauer | Sida Wang | Natalia Silveira | Julia Neidert | Christopher D. Manning
Proceedings of the Eighth Workshop on Statistical Machine Translation

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More Constructions, More Genres: Extending Stanford Dependencies
Marie-Catherine de Marneffe | Miriam Connor | Natalia Silveira | Samuel R. Bowman | Timothy Dozat | Christopher D. Manning
Proceedings of the Second International Conference on Dependency Linguistics (DepLing 2013)