Universal Dependencies v1: A Multilingual Treebank Collection

no code implementations • LREC 2016 • Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Yoav Goldberg, Jan Haji{\v{c}}, Christopher D. Manning, Ryan Mcdonald, Slav Petrov, Sampo Pyysalo, Natalia Silveira, Reut Tsarfaty, Daniel Zeman

Cross-linguistically consistent annotation is necessary for sound comparative evaluation and cross-lingual learning experiments.

Does Universal Dependencies need a parsing representation? An investigation of English

no code implementations • WS 2015 • Natalia Silveira, Christopher Manning

A Gold Standard Dependency Corpus for English

no code implementations • LREC 2014 • Natalia Silveira, Timothy Dozat, Marie-Catherine de Marneffe, Samuel Bowman, Miriam Connor, John Bauer, Chris Manning

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.

Sentiment Analysis

Universal Stanford dependencies: A cross-linguistic typology

no code implementations • LREC 2014 • Marie-Catherine de Marneffe, Timothy Dozat, Natalia Silveira, Katri Haverinen, Filip Ginter, Joakim Nivre, Christopher D. Manning

Revisiting the now de facto standard Stanford dependency representation, we propose an improved taxonomy to capture grammatical relations across languages, including morphologically rich ones.

Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task

no code implementations • WS 2013 • Spence Green, Daniel Cer, Kevin Reschke, Rob Voigt, John Bauer, Sida Wang, Natalia Silveira, Julia Neidert, Christopher D. Manning

Machine Translation Translation

More Constructions, More Genres: Extending Stanford Dependencies

no code implementations • WS 2013 • Marie-Catherine de Marneffe, Miriam Connor, Natalia Silveira, Samuel R. Bowman, Timothy Dozat, Christopher D. Manning

Machine Translation Relation Extraction