Stanford typed dependencies manual

By Marie-Catherine de Marnee, Christopher D. Manning. 2010

793 citations recorded by the source corpus.

How researchers see this paper

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ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases (2017, methodology): “The syntactic dependencies are then obtained from “CCProcessed” dependencies output by applying Stanford dependencies converter [8] on the parse tree.”
Automatic lymphoma classification with sentence subgraph mining from pathology reports. (2014, methodology): “We also chose the mode having “collapsed dependencies with propagation of conjunct dependencies” [43], which has the most compact graph translations.”
Annotated Gigaword (2012, background): “See de Marneffe and Manning (2008) for details.”
Semantic Frame Identification with Distributed Word Representations (2014, methodology): “…our PropBank and FrameNet training, development and test corpora with a shift-reduce dependency parser that uses the Stanford conventions (de Marneffe and Manning, 2013) and uses an arc-eager transition system with beam size of 8; the parser and its features are described by Zhang and Nivre…”