split_UD_conj: Split conjunctions for dependency trees in Universal...

In rsyntax: Extract Semantic Relations from Text by Querying and Reshaping Syntax

Split conjunctions for dependency trees in Universal Dependencies

Description

Split conjunctions for dependency trees in Universal Dependencies

Usage

split_UD_conj(
  tokens,
  conj_rel = "conj",
  cc_rel = c("cc", "cc:preconj"),
  unpack = T,
  no_fill = NULL,
  min_dist = 0,
  max_dist = Inf,
  right_fill_dist = T,
  compound_rel = c("compound*", "flat"),
  ...
)

Arguments

tokens	a tokenIndex based on texts parsed with spacy_parse (with dependency=TRUE)
conj_rel	The dependency relation for conjunctions. By default conj
cc_rel	The dependency relation for the coordinating conjunction. By default cc. This will be removed.
unpack	If TRUE (default), create separate branches for the parent and the node that inherits the parent position
no_fill	Optionally, a character vector with relation types that will be excluded from fill
min_dist	Optionally, a minimal distance between the conj node and its parent
max_dist	Optionally, a maximum distance between the conj node and its parent
right_fill_dist	Should fill to the right of the conjunction be used?
compound_rel	The relation types indicating compounds
...	specify conditions for the conjunction token. For instance, using 'pos = "VERB"' to only split VERB conjunctions. This is especially usefull to use different no_fill conditions.

Value

A tokenindex

Examples

tokens = tokens_spacy[tokens_spacy$doc_id == 'text5',]

if (interactive()) {
tokens %>%
   split_UD_conj() %>%
   plot_tree()
}

rsyntax documentation built on June 7, 2022, 9:07 a.m.