Patterns in syntactic dependency networks.

By R. Ferrer i Cancho, R. V. Solé, Reinhard Köhler. Physical review. E, Statistical, nonlinear, and soft matter physics, 2004

307 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Graph-of-word and TW-IDF: new approach to ad hoc IR (2013, unknown): “There exist several categories of methods, in particular vector space model (TFIDF [30]), probabilistic (BM25 [25]) and language modeling (Dirichlet prior [33]) approaches and the divergence from randomness framework (PL2 [1]).”
Usage‐Based Language: Investigating the Latent Structures That Underpin Acquisition (2013, background): “…suspect them to be fundamental, and are beginning to investigate how they might underlie language processing, learnability, acquisition, usage and change (Beckner et al., 2009; Ellis & Larsen-Freeman, 2009b; Ferrer i Cancho & Solé, 2001, 2003; Ferrer i Cancho et al., 2004; Solé et al., 2010).”
Graph-based term weighting for information retrieval (2012, background): “Edge relations can also be further refined, for instance in co-occurrence graphs which define co-occurrence either within a fixed window (Ferrer i and Solé 2001; Masucci and Rodgers 2006; Milo et al. 2004), or within the same sentence (Antiqueira et al. 2009; Caldeira et al. 2005).”
Analyzing and modeling real-world phenomena with complex networks: a survey of applications (2007, methodology): “Syntactic networks were obtained for Czech, German and Roma nian texts using a dependency grammar formalism, where binary relations are defined betwe n l xical nodes [430].”