nlp_dependency_parser: Spark NLP DependencyParserApproach

In r-spark/sparknlp: R Interface to John Snow Labs Spark NLP

Spark NLP DependencyParserApproach

Description

Spark ML estimator unlabeled parser that finds a grammatical relation between two words in a sentence. Its input is a directory with dependency treebank files. See https://nlp.johnsnowlabs.com/docs/en/annotators#dependency-parser

Usage

nlp_dependency_parser(
  x,
  input_cols,
  output_col,
  n_iterations = NULL,
  tree_bank_path = NULL,
  tree_bank_read_as = "TEXT",
  tree_bank_options = list(format = "text"),
  conll_u_path = NULL,
  conll_u_read_as = "TEXT",
  conll_u_options = list(format = "text"),
  uid = random_string("dependency_parser_")
)

Arguments

x	A spark_connection, ml_pipeline, or a tbl_spark.
input_cols	Input columns. String array.
output_col	Output column. String.
n_iterations	Number of iterations in training, converges to better accuracy
tree_bank_path	Dependency treebank folder with files in Penn Treebank format
tree_bank_read_as	TEXT or SPARK_DATASET
tree_bank_options	options to pass to Spark reader
conll_u_path	Path to a file in CoNLL-U format
conll_u_read_as	TEXT or SPARK_DATASET
conll_u_options	options to pass to Spark reader
uid	A character string used to uniquely identify the ML estimator.

Value

The object returned depends on the class of x.

• spark_connection: When x is a spark_connection, the function returns an instance of a ml_estimator object. The object contains a pointer to a Spark Estimator object and can be used to compose Pipeline objects.

• ml_pipeline: When x is a ml_pipeline, the function returns a ml_pipeline with the NLP estimator appended to the pipeline.

• tbl_spark: When x is a tbl_spark, an estimator is constructed then immediately fit with the input tbl_spark, returning an NLP model.

r-spark/sparknlp documentation built on Oct. 15, 2022, 10:50 a.m.